Amazon Bedrock AWS-bedrock

46 operations, identified by eventName in the audit log.

eventName	Description
_catch_all	Catch-all entry for AWS-bedrock rules that match the service but not a specific eventName.
AssociateAgentCollaborator	Associates a collaborator agent with a supervisor agent to enable multi-agent collaboration.
AssociateAgentKnowledgeBase	Associates a knowledge base with an Amazon Bedrock agent, enabling the agent to query the knowledge base during conversations.
Converse	Sends a conversational message to an Amazon Bedrock foundation model and returns a synchronous response.
ConverseStream	Sends a conversational message to an Amazon Bedrock foundation model and returns the response as a streaming event stream.
CreateAgent	Creates an Amazon Bedrock agent with a specified foundation model, instruction set, and configuration.
CreateAgentActionGroup	Creates an action group for a Bedrock agent, defining a set of API actions the agent can invoke.
CreateAgentAlias	Creates an alias for a Bedrock agent that points to a specific agent version, enabling versioned deployments.
CreateCustomModelDeployment	Creates a deployment for a custom Amazon Bedrock model, making it available for inference.
CreateDataSource	Creates a data source for a Bedrock knowledge base, specifying the location and ingestion configuration for documents.
CreateFoundationModelAgreement	Creates an agreement to accept the end-user license terms for a foundation model, enabling access to that model.
CreateMarketplaceModelEndpoint	Creates an endpoint for a model subscribed through AWS Marketplace, making it available for Bedrock inference.
CreateModelImportJob	Creates a job to import a custom model into Amazon Bedrock from an external source such as Amazon S3.
CreateProvisionedModelThroughput	Creates a provisioned throughput allocation for a Bedrock foundation or custom model, reserving dedicated inference capacity.
DeleteAutomatedReasoningPolicy	Deletes an automated reasoning policy from Amazon Bedrock, removing its constraints from model invocations.
DeleteDataSource	Deletes a data source from a Bedrock knowledge base, removing it from future ingestion operations.
DeleteEnforcedGuardrailConfiguration	Deletes the enforced guardrail configuration, removing the requirement to apply a specific guardrail to model invocations.
DeleteGuardrail	Deletes a Bedrock guardrail resource, removing the content filtering and safety policies it defined.
DeleteKnowledgeBase	Deletes a Bedrock knowledge base and its associated configuration, disconnecting it from any associated agents and data sources.
DeleteKnowledgeBaseDocuments	Deletes specific documents from a Bedrock knowledge base data source, removing them from the index.
DeleteModelInvocationLoggingConfiguration	Deletes the model invocation logging configuration for the account, stopping the logging of Bedrock inference requests and responses.
DeleteProvisionedModelThroughput	Deletes a provisioned throughput allocation for a Bedrock model, releasing the reserved inference capacity.
DeleteResourcePolicy	Deletes a resource-based policy attached to a Bedrock resource, removing the access permissions it granted.
IngestKnowledgeBaseDocuments	Directly ingests documents into a Bedrock knowledge base data source without starting a full ingestion job.
InvokeModel	Invokes an Amazon Bedrock foundation, imported, or provisioned model with a single synchronous request payload.
InvokeModelWithResponseStream	Invokes an Amazon Bedrock model and streams the response back as a series of chunks using the response body.
PrepareAgent	Prepares a Bedrock agent for use by packaging its latest configuration and creating a working draft version ready for testing or deployment.
PutEnforcedGuardrailConfiguration	Sets an enforced guardrail configuration that mandates a specific guardrail be applied to all model invocations in the account.
PutFoundationModelEntitlement	Sets the entitlement for a foundation model, granting access rights to the specified model for the account.
PutModelInvocationLoggingConfiguration	Configures logging for Amazon Bedrock model invocations, directing request and response data to CloudWatch Logs or S3.
PutResourcePolicy	Attaches or replaces a resource-based policy on a Bedrock resource, controlling cross-account or cross-service access.
PutUseCaseForModelAccess	Submits a use case description to request access to Amazon Bedrock foundation models that require justification.
RegisterMarketplaceModelEndpoint	Registers an existing AWS Marketplace model endpoint with Amazon Bedrock, enabling it to be used for Bedrock inference.
StartIngestionJob	Starts an ingestion job to sync documents from a data source into a Bedrock knowledge base vector store.
UpdateAgent	Updates the configuration of an existing Bedrock agent, such as its foundation model, instructions, or session timeout.
UpdateAgentActionGroup	Updates an action group associated with a Bedrock agent, modifying its API schema or Lambda function configuration.
UpdateAgentAlias	Updates a Bedrock agent alias to point to a different agent version or update its description.
UpdateAgentCollaborator	Updates the configuration of a collaborator agent associated with a supervisor agent.
UpdateAgentKnowledgeBase	Updates the configuration of a knowledge base associated with a Bedrock agent, such as its instruction or retrieval settings.
UpdateAutomatedReasoningPolicy	Updates an existing automated reasoning policy in Amazon Bedrock, modifying its rules or constraints.
UpdateAutomatedReasoningPolicyAnnotations	Updates the annotations on an automated reasoning policy, revising human-authored labels or metadata on its rules.
UpdateDataSource	Updates the configuration of a data source in a Bedrock knowledge base, such as its S3 location or chunking strategy.
UpdateGuardrail	Updates an existing Bedrock guardrail, modifying its content filters, topic denials, or sensitive information policies.
UpdateKnowledgeBase	Updates the configuration of a Bedrock knowledge base, such as its description, role ARN, or storage configuration.
UpdateProvisionedModelThroughput	Updates a provisioned throughput commitment for a Bedrock model, modifying its model units or model ID.
ListFoundationModels	Returns a list of Amazon Bedrock foundation models available for use, including their providers, modalities, and inference types.

_catch_all: AWS-bedrock (catch-all)

Service: AWS-bedrock

Description

Catch-all entry for AWS-bedrock rules that match the service but not a specific eventName.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

AssociateAgentCollaborator

Service: AWS-bedrock

Description

Associates a collaborator agent with a supervisor agent to enable multi-agent collaboration.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches CreateAgentActionGroup, CreateAgentAlias, PrepareAgent, UpdateAgent, UpdateAgentActionGroup, UpdateAgentAlias, UpdateAgentCollaborator

AssociateAgentKnowledgeBase

Service: AWS-bedrock

Description

Associates a knowledge base with an Amazon Bedrock agent, enabling the agent to query the knowledge base during conversations.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Third-Party or External Knowledge Base Associated to Agent source medium: Detects when an Amazon Bedrock agent is associated with, or updated to use, a knowledge base via the AssociateAgentKnowledgeBase, or UpdateAgentKnowledgeBase API actions. Bedrock agents consume knowledge base (RAG) content as trusted context for the model. By wiring an agent to an externally controlled or third-party knowledge base, or by swapping in an attacker-controlled knowledge base, an adversary can redraw the agent's trust boundary toward an untrusted source. This is a software-supply-chain compromise and an indirect prompt-injection delivery vector: poisoned or adversarial content served from the associated knowledge base is treated as authoritative by the agent. Validate that the associated knowledge base, and any underlying data source, is owned and controlled by your organization.↳ also matches UpdateAgentKnowledgeBase

Converse

Service: AWS-bedrock

Description

Sends a conversational message to an Amazon Bedrock foundation model and returns a synchronous response.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::requestParameters`	is_not_null		1 rule	elastic, panther
`aws::userIdentity.arn`	is_not_null		1 rule	elastic

Detection Rules #

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Elastic #

AWS Bedrock High-Frequency Single-Model Inference API Probing source medium: Identifies an AWS principal performing a high volume of Amazon Bedrock inference API calls against a single model within a short window. Membership inference attacks require hundreds to thousands of statistically similar queries whose prompts and responses are intentionally content-benign, making guardrail- and content-based rules ineffective. This rule detects the high-frequency single-model probing pattern that precedes membership inference and related exfiltration via the inference API. It is a behavioral / volumetric precursor: it does not observe model confidence scores and a fixed call-count threshold only catches the loud variant, so paced, low-and-slow, or credential-distributed probing will evade it. Definitive membership inference detection requires ML anomaly analysis over per-entity inference-rate and response-distribution baselines.↳ also matches ConverseStream, InvokeModel, InvokeModelWithResponseStream

ConverseStream

Service: AWS-bedrock

Description

Sends a conversational message to an Amazon Bedrock foundation model and returns the response as a streaming event stream.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::requestParameters`	is_not_null		1 rule	elastic, panther
`aws::userIdentity.arn`	is_not_null		1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock High-Frequency Single-Model Inference API Probing source medium: Identifies an AWS principal performing a high volume of Amazon Bedrock inference API calls against a single model within a short window. Membership inference attacks require hundreds to thousands of statistically similar queries whose prompts and responses are intentionally content-benign, making guardrail- and content-based rules ineffective. This rule detects the high-frequency single-model probing pattern that precedes membership inference and related exfiltration via the inference API. It is a behavioral / volumetric precursor: it does not observe model confidence scores and a fixed call-count threshold only catches the loud variant, so paced, low-and-slow, or credential-distributed probing will evade it. Definitive membership inference detection requires ML anomaly analysis over per-entity inference-rate and response-distribution baselines.↳ also matches Converse, InvokeModel, InvokeModelWithResponseStream

CreateAgent

Service: AWS-bedrock

Description

Creates an Amazon Bedrock agent with a specified foundation model, instruction set, and configuration.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::userIdentity.type`	in	`IAMUser`	1 rule	elastic, panther

Detection Rules #

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Elastic #

AWS Bedrock Agent Created by IAM User or Root source low: Identifies AWS Bedrock Agent creation performed directly by an IAM user or the root account. Bedrock Agents are autonomous AI systems that execute multi-step tasks, invoke Lambda action groups to call external APIs, and query knowledge bases. Adversaries with access to an AWS account can create rogue agents configured to exfiltrate data via action group Lambda functions, pivot to other services, or act as a persistent AI-driven command-and-control channel. This rule is scoped to IAMUser and Root identity types — AssumedRole sessions (which represent automated CI/CD pipelines and SSO-federated engineers) are excluded to avoid global false positives from legitimate deployment automation that varies widely across customer environments.

CreateAgentActionGroup

Service: AWS-bedrock

Description

Creates an action group for a Bedrock agent, defining a set of API actions the agent can invoke.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches AssociateAgentCollaborator, CreateAgentAlias, PrepareAgent, UpdateAgent, UpdateAgentActionGroup, UpdateAgentAlias, UpdateAgentCollaborator

CreateAgentAlias

Service: AWS-bedrock

Description

Creates an alias for a Bedrock agent that points to a specific agent version, enabling versioned deployments.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches AssociateAgentCollaborator, CreateAgentActionGroup, PrepareAgent, UpdateAgent, UpdateAgentActionGroup, UpdateAgentAlias, UpdateAgentCollaborator

CreateCustomModelDeployment

Service: AWS-bedrock

Description

Creates a deployment for a custom Amazon Bedrock model, making it available for inference.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Untrusted Model Imported or Marketplace Endpoint Registered source medium: Detects when an AWS Bedrock custom model is imported or deployed, or when a marketplace model endpoint is created or registered, via the CreateModelImportJob, CreateCustomModelDeployment, CreateMarketplaceModelEndpoint, or RegisterMarketplaceModelEndpoint API calls. These actions introduce a model artifact from outside the organization's trusted training and approval pipeline. A backdoored, poisoned, or attacker-supplied model that downstream applications subsequently invoke represents a software supply-chain compromise. New model imports and marketplace endpoint registrations should be validated for artifact provenance (S3 source ownership), the registering identity, and whether the model originates from an approved internal pipeline.↳ also matches CreateMarketplaceModelEndpoint, CreateModelImportJob, RegisterMarketplaceModelEndpoint

CreateDataSource

Service: AWS-bedrock

Description

Creates a data source for a Bedrock knowledge base, specifying the location and ingestion configuration for documents.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches DeleteDataSource, DeleteKnowledgeBase, DeleteKnowledgeBaseDocuments, IngestKnowledgeBaseDocuments, StartIngestionJob, UpdateDataSource, UpdateKnowledgeBase

CreateFoundationModelAgreement

Service: AWS-bedrock

Description

Creates an agreement to accept the end-user license terms for a foundation model, enabling access to that model.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`EventType`	in	`CreateFoundationModelAgreement`	2 rules	elastic
`EventType`	in	`PutFoundationModelEntitlement`	2 rules	elastic
`EventType`	in	`PutUseCaseForModelAccess`	2 rules	elastic
`Provider_Name`	eq	`bedrock.amazonaws.com`	2 rules	elastic
`aws::errorCode`	in	`AccessDenied`	1 rule	elastic, splunk
`aws::errorCode`	in	`AccessDeniedException`	1 rule	elastic
`event.outcome`	eq	`failure`	1 rule	elastic

Detection Rules #

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Elastic #

AWS Bedrock Unauthorized Foundation Model Access Attempt source low: Identifies failed, access-denied attempts to enable account-level access to an Amazon Bedrock foundation model, either by granting a foundation-model entitlement, submitting a use case for model access, or creating a foundation-model agreement (accepting the EULA). These account-level "model access" actions unlock a foundation model so that it can subsequently be invoked. A principal that is repeatedly denied when attempting these actions may be a compromised or under-privileged identity probing for the ability to unlock expensive models (LLMjacking) or to establish a durable ability to invoke models. Unlike the companion rule that detects successful model-access grants, this rule surfaces the attempt itself, which is a high-signal indicator of credential boundary-testing even though access was not granted.↳ also matches PutFoundationModelEntitlement, PutUseCaseForModelAccess
AWS Bedrock Foundation Model Access Enabled or Entitlement Granted source medium: Identifies when access to an Amazon Bedrock foundation model is enabled at the account level, either by granting a foundation-model entitlement, submitting a use case for model access, or creating a foundation-model agreement (accepting the EULA). These account-level "model access" actions unlock a foundation model so that it can subsequently be invoked. Adversaries or a compromised principal may enable model access to abuse expensive models (LLMjacking), to establish a durable ability to invoke models within the account, or to bypass organizational controls. This activity is distinct from changes to a resource-based model invocation policy and is identified by the Bedrock control-plane API calls that grant model entitlements and agreements.↳ also matches PutFoundationModelEntitlement, PutUseCaseForModelAccess

CreateMarketplaceModelEndpoint

Service: AWS-bedrock

Description

Creates an endpoint for a model subscribed through AWS Marketplace, making it available for Bedrock inference.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Untrusted Model Imported or Marketplace Endpoint Registered source medium: Detects when an AWS Bedrock custom model is imported or deployed, or when a marketplace model endpoint is created or registered, via the CreateModelImportJob, CreateCustomModelDeployment, CreateMarketplaceModelEndpoint, or RegisterMarketplaceModelEndpoint API calls. These actions introduce a model artifact from outside the organization's trusted training and approval pipeline. A backdoored, poisoned, or attacker-supplied model that downstream applications subsequently invoke represents a software supply-chain compromise. New model imports and marketplace endpoint registrations should be validated for artifact provenance (S3 source ownership), the registering identity, and whether the model originates from an approved internal pipeline.↳ also matches CreateCustomModelDeployment, CreateModelImportJob, RegisterMarketplaceModelEndpoint

CreateModelImportJob

Service: AWS-bedrock

Description

Creates a job to import a custom model into Amazon Bedrock from an external source such as Amazon S3.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Untrusted Model Imported or Marketplace Endpoint Registered source medium: Detects when an AWS Bedrock custom model is imported or deployed, or when a marketplace model endpoint is created or registered, via the CreateModelImportJob, CreateCustomModelDeployment, CreateMarketplaceModelEndpoint, or RegisterMarketplaceModelEndpoint API calls. These actions introduce a model artifact from outside the organization's trusted training and approval pipeline. A backdoored, poisoned, or attacker-supplied model that downstream applications subsequently invoke represents a software supply-chain compromise. New model imports and marketplace endpoint registrations should be validated for artifact provenance (S3 source ownership), the registering identity, and whether the model originates from an approved internal pipeline.↳ also matches CreateCustomModelDeployment, CreateMarketplaceModelEndpoint, RegisterMarketplaceModelEndpoint

CreateProvisionedModelThroughput

Service: AWS-bedrock

Description

Creates a provisioned throughput allocation for a Bedrock foundation or custom model, reserving dedicated inference capacity.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Provisioned Model Throughput Tampering source medium: Detects creation, modification, or deletion of AWS Bedrock Provisioned Model Throughput via the CreateProvisionedModelThroughput, UpdateProvisionedModelThroughput, and DeleteProvisionedModelThroughput APIs. Provisioned Throughput reserves dedicated, billed model capacity for Amazon Bedrock. An adversary who scales this capacity up can drive large, unauthorized cost (cloud resource/bill hijacking), while deleting reserved throughput can cause denial of service to production workloads that depend on that committed capacity. These control-plane changes should be validated against approved capacity-planning and change-management processes.↳ also matches DeleteProvisionedModelThroughput, UpdateProvisionedModelThroughput

DeleteAutomatedReasoningPolicy

Service: AWS-bedrock

Description

Deletes an automated reasoning policy from Amazon Bedrock, removing its constraints from model invocations.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`Provider_Name`	eq	`bedrock.amazonaws.com`	1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Automated Reasoning Safety Policy Tampering source medium: Detects deletion or modification of AWS Bedrock Automated Reasoning policies via the DeleteAutomatedReasoningPolicy, UpdateAutomatedReasoningPolicy, or UpdateAutomatedReasoningPolicyAnnotations CloudTrail actions. Automated Reasoning policies are a Bedrock safety and validation control that constrains model outputs against formal rules. An adversary who deletes a policy or alters the policy definition or its annotations weakens an enforced output-validation defense, potentially allowing unsafe or non-compliant model responses to pass unchecked. Benign build, test-workflow, and test-case CRUD operations are intentionally excluded as they have no coherent abuse path.↳ also matches UpdateAutomatedReasoningPolicy, UpdateAutomatedReasoningPolicyAnnotations

DeleteDataSource

Service: AWS-bedrock

Description

Deletes a data source from a Bedrock knowledge base, removing it from future ingestion operations.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches CreateDataSource, DeleteKnowledgeBase, DeleteKnowledgeBaseDocuments, IngestKnowledgeBaseDocuments, StartIngestionJob, UpdateDataSource, UpdateKnowledgeBase

DeleteEnforcedGuardrailConfiguration

Service: AWS-bedrock

Description

Deletes the enforced guardrail configuration, removing the requirement to apply a specific guardrail to model invocations.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Guardrail Deleted or Weakened source medium: Detects deletion, weakening, or version management of AWS Bedrock guardrails via the DeleteGuardrail, UpdateGuardrail, DeleteEnforcedGuardrailConfiguration, or PutEnforcedGuardrailConfiguration APIs. Bedrock guardrails enforce content, topic, word, and sensitive-information policies on model invocations. Deleting a guardrail, loosening its policies, removing or overwriting the organization-enforced guardrail configuration, or creating a new version to enforce a weakened configuration allows an adversary to bypass these protections — the cloud control-plane equivalent of disabling a security tool. This activity should be validated against approved change management and the responsible identity.↳ also matches DeleteGuardrail, PutEnforcedGuardrailConfiguration, UpdateGuardrail

DeleteGuardrail

Service: AWS-bedrock

Description

Deletes a Bedrock guardrail resource, removing the content filtering and safety policies it defined.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::eventSource`	eq	`bedrock.amazonaws.com`	1 rule	panther, splunk

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Guardrail Deleted or Weakened source medium: Detects deletion, weakening, or version management of AWS Bedrock guardrails via the DeleteGuardrail, UpdateGuardrail, DeleteEnforcedGuardrailConfiguration, or PutEnforcedGuardrailConfiguration APIs. Bedrock guardrails enforce content, topic, word, and sensitive-information policies on model invocations. Deleting a guardrail, loosening its policies, removing or overwriting the organization-enforced guardrail configuration, or creating a new version to enforce a weakened configuration allows an adversary to bypass these protections — the cloud control-plane equivalent of disabling a security tool. This activity should be validated against approved change management and the responsible identity.↳ also matches DeleteEnforcedGuardrailConfiguration, PutEnforcedGuardrailConfiguration, UpdateGuardrail

Splunk #

AWS Bedrock Delete GuardRails source: The following analytic identifies attempts to delete AWS Bedrock GuardRails, which are security controls designed to prevent harmful, biased, or inappropriate AI outputs. It leverages AWS CloudTrail logs to detect when a user or service…

DeleteKnowledgeBase

Service: AWS-bedrock

Description

Deletes a Bedrock knowledge base and its associated configuration, disconnecting it from any associated agents and data sources.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::eventSource`	eq	`bedrock.amazonaws.com`	1 rule	panther, splunk

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches CreateDataSource, DeleteDataSource, DeleteKnowledgeBaseDocuments, IngestKnowledgeBaseDocuments, StartIngestionJob, UpdateDataSource, UpdateKnowledgeBase

Splunk #

AWS Bedrock Delete Knowledge Base source: The following analytic identifies attempts to delete AWS Bedrock Knowledge Bases, which are resources that store and manage domain-specific information for AI models. It monitors AWS CloudTrail logs for DeleteKnowledgeBase API calls. This…

DeleteKnowledgeBaseDocuments

Service: AWS-bedrock

Description

Deletes specific documents from a Bedrock knowledge base data source, removing them from the index.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches CreateDataSource, DeleteDataSource, DeleteKnowledgeBase, IngestKnowledgeBaseDocuments, StartIngestionJob, UpdateDataSource, UpdateKnowledgeBase

DeleteModelInvocationLoggingConfiguration

Service: AWS-bedrock

Description

Deletes the model invocation logging configuration for the account, stopping the logging of Bedrock inference requests and responses.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::eventName`	eq	`DeleteModelInvocationLoggingConfiguration`	1 rule	panther, splunk
`aws::eventSource`	eq	`bedrock.amazonaws.com`	1 rule	panther, splunk

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Model Invocation Logging Disabled or Modified source high: Detects when an AWS Bedrock model invocation logging configuration is deleted or overwritten via the DeleteModelInvocationLoggingConfiguration or PutModelInvocationLoggingConfiguration API calls. Model invocation logging is the source that feeds the logs-aws_bedrock.invocation-* dataset relied upon by all data-plane Bedrock detections. An adversary who has gained access to a Bedrock environment can blind defenders by deleting this configuration, or by using the Put API to redirect logs to an attacker-controlled or non-monitored S3 bucket or CloudWatch log group. Because this single control-plane action can neutralize the entire data-plane detection stack, it is a high-value evasion technique that should be validated against expected administrative change activity.↳ also matches PutModelInvocationLoggingConfiguration

Splunk #

AWS Bedrock Delete Model Invocation Logging Configuration source: The following analytic identifies attempts to delete AWS Bedrock model invocation logging configurations. It leverages AWS CloudTrail logs to detect when a user or service calls the DeleteModelInvocationLogging API. This activity is…

DeleteProvisionedModelThroughput

Service: AWS-bedrock

Description

Deletes a provisioned throughput allocation for a Bedrock model, releasing the reserved inference capacity.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Provisioned Model Throughput Tampering source medium: Detects creation, modification, or deletion of AWS Bedrock Provisioned Model Throughput via the CreateProvisionedModelThroughput, UpdateProvisionedModelThroughput, and DeleteProvisionedModelThroughput APIs. Provisioned Throughput reserves dedicated, billed model capacity for Amazon Bedrock. An adversary who scales this capacity up can drive large, unauthorized cost (cloud resource/bill hijacking), while deleting reserved throughput can cause denial of service to production workloads that depend on that committed capacity. These control-plane changes should be validated against approved capacity-planning and change-management processes.↳ also matches CreateProvisionedModelThroughput, UpdateProvisionedModelThroughput

DeleteResourcePolicy

Service: AWS-bedrock

Description

Deletes a resource-based policy attached to a Bedrock resource, removing the access permissions it granted.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`EventType`	in	`DeleteResourcePolicy`	2 rules	elastic
`EventType`	in	`PutResourcePolicy`	2 rules	elastic
`Provider_Name`	eq	`bedrock.amazonaws.com`	2 rules	elastic
`aws::errorCode`	in	`AccessDenied`	1 rule	elastic, splunk
`aws::errorCode`	in	`AccessDeniedException`	1 rule	elastic
`event.outcome`	eq	`failure`	1 rule	elastic

Detection Rules #

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Elastic #

AWS Bedrock Unauthorized Resource-Based Policy Modification Attempt source low: Detects failed, access-denied attempts to modify or delete resource-based access policies on AWS Bedrock resources via the PutResourcePolicy and DeleteResourcePolicy API calls. Resource-based policies govern which principals (including external accounts) may access Bedrock resources such as agents, knowledge bases, and custom models. A principal that is repeatedly denied when attempting to attach or remove these policies may be a compromised or under-privileged identity probing for the ability to grant external or cross-account access, or to weaken existing access controls. Unlike the companion rule that detects successful changes, this rule surfaces the attempt itself, which is a high-signal indicator of credential boundary-testing even though no change occurred.↳ also matches PutResourcePolicy
AWS Bedrock Resource-Based Policy Modified or Deleted source medium: Detects modification or deletion of resource-based access policies on AWS Bedrock resources via the PutResourcePolicy and DeleteResourcePolicy API calls. Resource-based policies govern which principals (including external accounts) may access Bedrock resources such as agents, knowledge bases, and custom models. An adversary may attach a resource policy granting an external or unexpected principal access to a Bedrock resource to establish persistence or enable cross-account access, or may delete an existing policy to weaken access controls. These changes should be validated for principal ownership and least-privilege intent.↳ also matches PutResourcePolicy

IngestKnowledgeBaseDocuments

Service: AWS-bedrock

Description

Directly ingests documents into a Bedrock knowledge base data source without starting a full ingestion job.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches CreateDataSource, DeleteDataSource, DeleteKnowledgeBase, DeleteKnowledgeBaseDocuments, StartIngestionJob, UpdateDataSource, UpdateKnowledgeBase

InvokeModel

Service: AWS-bedrock

Description

Invokes an Amazon Bedrock foundation, imported, or provisioned model with a single synchronous request payload.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::eventSource`	eq	`bedrock.amazonaws.com`	1 rule	panther, splunk
`aws::requestParameters`	is_not_null		1 rule	elastic, panther
`aws::userIdentity.arn`	is_not_null		1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock High-Frequency Single-Model Inference API Probing source medium: Identifies an AWS principal performing a high volume of Amazon Bedrock inference API calls against a single model within a short window. Membership inference attacks require hundreds to thousands of statistically similar queries whose prompts and responses are intentionally content-benign, making guardrail- and content-based rules ineffective. This rule detects the high-frequency single-model probing pattern that precedes membership inference and related exfiltration via the inference API. It is a behavioral / volumetric precursor: it does not observe model confidence scores and a fixed call-count threshold only catches the loud variant, so paced, low-and-slow, or credential-distributed probing will evade it. Definitive membership inference detection requires ML anomaly analysis over per-entity inference-rate and response-distribution baselines.↳ also matches Converse, ConverseStream, InvokeModelWithResponseStream

Splunk #

AWS Bedrock Invoke Model Access Denied source: The following analytic identifies access denied error when attempting to invoke AWS Bedrock models. It leverages AWS CloudTrail logs to detect when a user or service receives an AccessDenied error when calling the InvokeModel API. This…

InvokeModelWithResponseStream

Service: AWS-bedrock

Description

Invokes an Amazon Bedrock model and streams the response back as a series of chunks using the response body.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::requestParameters`	is_not_null		1 rule	elastic, panther

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock High-Frequency Single-Model Inference API Probing source medium: Identifies an AWS principal performing a high volume of Amazon Bedrock inference API calls against a single model within a short window. Membership inference attacks require hundreds to thousands of statistically similar queries whose prompts and responses are intentionally content-benign, making guardrail- and content-based rules ineffective. This rule detects the high-frequency single-model probing pattern that precedes membership inference and related exfiltration via the inference API. It is a behavioral / volumetric precursor: it does not observe model confidence scores and a fixed call-count threshold only catches the loud variant, so paced, low-and-slow, or credential-distributed probing will evade it. Definitive membership inference detection requires ML anomaly analysis over per-entity inference-rate and response-distribution baselines.↳ also matches Converse, ConverseStream, InvokeModel

PrepareAgent

Service: AWS-bedrock

Description

Prepares a Bedrock agent for use by packaging its latest configuration and creating a working draft version ready for testing or deployment.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches AssociateAgentCollaborator, CreateAgentActionGroup, CreateAgentAlias, UpdateAgent, UpdateAgentActionGroup, UpdateAgentAlias, UpdateAgentCollaborator

PutEnforcedGuardrailConfiguration

Service: AWS-bedrock

Description

Sets an enforced guardrail configuration that mandates a specific guardrail be applied to all model invocations in the account.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Guardrail Deleted or Weakened source medium: Detects deletion, weakening, or version management of AWS Bedrock guardrails via the DeleteGuardrail, UpdateGuardrail, DeleteEnforcedGuardrailConfiguration, or PutEnforcedGuardrailConfiguration APIs. Bedrock guardrails enforce content, topic, word, and sensitive-information policies on model invocations. Deleting a guardrail, loosening its policies, removing or overwriting the organization-enforced guardrail configuration, or creating a new version to enforce a weakened configuration allows an adversary to bypass these protections — the cloud control-plane equivalent of disabling a security tool. This activity should be validated against approved change management and the responsible identity.↳ also matches DeleteEnforcedGuardrailConfiguration, DeleteGuardrail, UpdateGuardrail

PutFoundationModelEntitlement

Service: AWS-bedrock

Description

Sets the entitlement for a foundation model, granting access rights to the specified model for the account.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`EventType`	in	`CreateFoundationModelAgreement`	2 rules	elastic
`EventType`	in	`PutFoundationModelEntitlement`	2 rules	elastic
`EventType`	in	`PutUseCaseForModelAccess`	2 rules	elastic
`Provider_Name`	eq	`bedrock.amazonaws.com`	2 rules	elastic
`aws::errorCode`	in	`AccessDenied`	1 rule	elastic, splunk
`aws::errorCode`	in	`AccessDeniedException`	1 rule	elastic
`event.outcome`	eq	`failure`	1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Unauthorized Foundation Model Access Attempt source low: Identifies failed, access-denied attempts to enable account-level access to an Amazon Bedrock foundation model, either by granting a foundation-model entitlement, submitting a use case for model access, or creating a foundation-model agreement (accepting the EULA). These account-level "model access" actions unlock a foundation model so that it can subsequently be invoked. A principal that is repeatedly denied when attempting these actions may be a compromised or under-privileged identity probing for the ability to unlock expensive models (LLMjacking) or to establish a durable ability to invoke models. Unlike the companion rule that detects successful model-access grants, this rule surfaces the attempt itself, which is a high-signal indicator of credential boundary-testing even though access was not granted.↳ also matches CreateFoundationModelAgreement, PutUseCaseForModelAccess
AWS Bedrock Foundation Model Access Enabled or Entitlement Granted source medium: Identifies when access to an Amazon Bedrock foundation model is enabled at the account level, either by granting a foundation-model entitlement, submitting a use case for model access, or creating a foundation-model agreement (accepting the EULA). These account-level "model access" actions unlock a foundation model so that it can subsequently be invoked. Adversaries or a compromised principal may enable model access to abuse expensive models (LLMjacking), to establish a durable ability to invoke models within the account, or to bypass organizational controls. This activity is distinct from changes to a resource-based model invocation policy and is identified by the Bedrock control-plane API calls that grant model entitlements and agreements.↳ also matches CreateFoundationModelAgreement, PutUseCaseForModelAccess

PutModelInvocationLoggingConfiguration

Service: AWS-bedrock

Description

Configures logging for Amazon Bedrock model invocations, directing request and response data to CloudWatch Logs or S3.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Model Invocation Logging Disabled or Modified source high: Detects when an AWS Bedrock model invocation logging configuration is deleted or overwritten via the DeleteModelInvocationLoggingConfiguration or PutModelInvocationLoggingConfiguration API calls. Model invocation logging is the source that feeds the logs-aws_bedrock.invocation-* dataset relied upon by all data-plane Bedrock detections. An adversary who has gained access to a Bedrock environment can blind defenders by deleting this configuration, or by using the Put API to redirect logs to an attacker-controlled or non-monitored S3 bucket or CloudWatch log group. Because this single control-plane action can neutralize the entire data-plane detection stack, it is a high-value evasion technique that should be validated against expected administrative change activity.↳ also matches DeleteModelInvocationLoggingConfiguration

PutResourcePolicy

Service: AWS-bedrock

Description

Attaches or replaces a resource-based policy on a Bedrock resource, controlling cross-account or cross-service access.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`EventType`	in	`DeleteResourcePolicy`	2 rules	elastic
`EventType`	in	`PutResourcePolicy`	2 rules	elastic
`Provider_Name`	eq	`bedrock.amazonaws.com`	2 rules	elastic
`aws::errorCode`	in	`AccessDenied`	1 rule	elastic, splunk
`aws::errorCode`	in	`AccessDeniedException`	1 rule	elastic
`event.outcome`	eq	`failure`	1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Unauthorized Resource-Based Policy Modification Attempt source low: Detects failed, access-denied attempts to modify or delete resource-based access policies on AWS Bedrock resources via the PutResourcePolicy and DeleteResourcePolicy API calls. Resource-based policies govern which principals (including external accounts) may access Bedrock resources such as agents, knowledge bases, and custom models. A principal that is repeatedly denied when attempting to attach or remove these policies may be a compromised or under-privileged identity probing for the ability to grant external or cross-account access, or to weaken existing access controls. Unlike the companion rule that detects successful changes, this rule surfaces the attempt itself, which is a high-signal indicator of credential boundary-testing even though no change occurred.↳ also matches DeleteResourcePolicy
AWS Bedrock Resource-Based Policy Modified or Deleted source medium: Detects modification or deletion of resource-based access policies on AWS Bedrock resources via the PutResourcePolicy and DeleteResourcePolicy API calls. Resource-based policies govern which principals (including external accounts) may access Bedrock resources such as agents, knowledge bases, and custom models. An adversary may attach a resource policy granting an external or unexpected principal access to a Bedrock resource to establish persistence or enable cross-account access, or may delete an existing policy to weaken access controls. These changes should be validated for principal ownership and least-privilege intent.↳ also matches DeleteResourcePolicy

PutUseCaseForModelAccess

Service: AWS-bedrock

Description

Submits a use case description to request access to Amazon Bedrock foundation models that require justification.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`EventType`	in	`CreateFoundationModelAgreement`	2 rules	elastic
`EventType`	in	`PutFoundationModelEntitlement`	2 rules	elastic
`EventType`	in	`PutUseCaseForModelAccess`	2 rules	elastic
`Provider_Name`	eq	`bedrock.amazonaws.com`	2 rules	elastic
`aws::errorCode`	in	`AccessDenied`	1 rule	elastic, splunk
`aws::errorCode`	in	`AccessDeniedException`	1 rule	elastic
`event.outcome`	eq	`failure`	1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Unauthorized Foundation Model Access Attempt source low: Identifies failed, access-denied attempts to enable account-level access to an Amazon Bedrock foundation model, either by granting a foundation-model entitlement, submitting a use case for model access, or creating a foundation-model agreement (accepting the EULA). These account-level "model access" actions unlock a foundation model so that it can subsequently be invoked. A principal that is repeatedly denied when attempting these actions may be a compromised or under-privileged identity probing for the ability to unlock expensive models (LLMjacking) or to establish a durable ability to invoke models. Unlike the companion rule that detects successful model-access grants, this rule surfaces the attempt itself, which is a high-signal indicator of credential boundary-testing even though access was not granted.↳ also matches CreateFoundationModelAgreement, PutFoundationModelEntitlement
AWS Bedrock Foundation Model Access Enabled or Entitlement Granted source medium: Identifies when access to an Amazon Bedrock foundation model is enabled at the account level, either by granting a foundation-model entitlement, submitting a use case for model access, or creating a foundation-model agreement (accepting the EULA). These account-level "model access" actions unlock a foundation model so that it can subsequently be invoked. Adversaries or a compromised principal may enable model access to abuse expensive models (LLMjacking), to establish a durable ability to invoke models within the account, or to bypass organizational controls. This activity is distinct from changes to a resource-based model invocation policy and is identified by the Bedrock control-plane API calls that grant model entitlements and agreements.↳ also matches CreateFoundationModelAgreement, PutFoundationModelEntitlement

RegisterMarketplaceModelEndpoint

Service: AWS-bedrock

Description

Registers an existing AWS Marketplace model endpoint with Amazon Bedrock, enabling it to be used for Bedrock inference.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Untrusted Model Imported or Marketplace Endpoint Registered source medium: Detects when an AWS Bedrock custom model is imported or deployed, or when a marketplace model endpoint is created or registered, via the CreateModelImportJob, CreateCustomModelDeployment, CreateMarketplaceModelEndpoint, or RegisterMarketplaceModelEndpoint API calls. These actions introduce a model artifact from outside the organization's trusted training and approval pipeline. A backdoored, poisoned, or attacker-supplied model that downstream applications subsequently invoke represents a software supply-chain compromise. New model imports and marketplace endpoint registrations should be validated for artifact provenance (S3 source ownership), the registering identity, and whether the model originates from an approved internal pipeline.↳ also matches CreateCustomModelDeployment, CreateMarketplaceModelEndpoint, CreateModelImportJob

StartIngestionJob

Service: AWS-bedrock

Description

Starts an ingestion job to sync documents from a data source into a Bedrock knowledge base vector store.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches CreateDataSource, DeleteDataSource, DeleteKnowledgeBase, DeleteKnowledgeBaseDocuments, IngestKnowledgeBaseDocuments, UpdateDataSource, UpdateKnowledgeBase

UpdateAgent

Service: AWS-bedrock

Description

Updates the configuration of an existing Bedrock agent, such as its foundation model, instructions, or session timeout.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches AssociateAgentCollaborator, CreateAgentActionGroup, CreateAgentAlias, PrepareAgent, UpdateAgentActionGroup, UpdateAgentAlias, UpdateAgentCollaborator

UpdateAgentActionGroup

Service: AWS-bedrock

Description

Updates an action group associated with a Bedrock agent, modifying its API schema or Lambda function configuration.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches AssociateAgentCollaborator, CreateAgentActionGroup, CreateAgentAlias, PrepareAgent, UpdateAgent, UpdateAgentAlias, UpdateAgentCollaborator

UpdateAgentAlias

Service: AWS-bedrock

Description

Updates a Bedrock agent alias to point to a different agent version or update its description.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches AssociateAgentCollaborator, CreateAgentActionGroup, CreateAgentAlias, PrepareAgent, UpdateAgent, UpdateAgentActionGroup, UpdateAgentCollaborator

UpdateAgentCollaborator

Service: AWS-bedrock

Description

Updates the configuration of a collaborator agent associated with a supervisor agent.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Agent or Action Group Manipulation source medium: Detects modification of deployed Amazon Bedrock agents and their action groups, collaborators, or aliases via the Bedrock Agent control plane. Adversaries with access to an AWS account can tamper with an existing, trusted agent by altering its instructions (UpdateAgent), adding or changing action groups that wire the agent to Lambda functions or APIs (CreateAgentActionGroup, UpdateAgentActionGroup), attaching or modifying collaborators (AssociateAgentCollaborator, UpdateAgentCollaborator), or repointing an alias to a tampered version (CreateAgentAlias, UpdateAgentAlias). A PrepareAgent call is required to make a tampered configuration live. By implanting malicious behavior into an agent that legitimate users continue to invoke, an attacker can maintain durable access through a trusted component. Creation of brand-new agents (CreateAgent) is intentionally excluded as lower-signal activity.↳ also matches AssociateAgentCollaborator, CreateAgentActionGroup, CreateAgentAlias, PrepareAgent, UpdateAgent, UpdateAgentActionGroup, UpdateAgentAlias

UpdateAgentKnowledgeBase

Service: AWS-bedrock

Description

Updates the configuration of a knowledge base associated with a Bedrock agent, such as its instruction or retrieval settings.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Third-Party or External Knowledge Base Associated to Agent source medium: Detects when an Amazon Bedrock agent is associated with, or updated to use, a knowledge base via the AssociateAgentKnowledgeBase, or UpdateAgentKnowledgeBase API actions. Bedrock agents consume knowledge base (RAG) content as trusted context for the model. By wiring an agent to an externally controlled or third-party knowledge base, or by swapping in an attacker-controlled knowledge base, an adversary can redraw the agent's trust boundary toward an untrusted source. This is a software-supply-chain compromise and an indirect prompt-injection delivery vector: poisoned or adversarial content served from the associated knowledge base is treated as authoritative by the agent. Validate that the associated knowledge base, and any underlying data source, is owned and controlled by your organization.↳ also matches AssociateAgentKnowledgeBase

UpdateAutomatedReasoningPolicy

Service: AWS-bedrock

Description

Updates an existing automated reasoning policy in Amazon Bedrock, modifying its rules or constraints.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`Provider_Name`	eq	`bedrock.amazonaws.com`	1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Automated Reasoning Safety Policy Tampering source medium: Detects deletion or modification of AWS Bedrock Automated Reasoning policies via the DeleteAutomatedReasoningPolicy, UpdateAutomatedReasoningPolicy, or UpdateAutomatedReasoningPolicyAnnotations CloudTrail actions. Automated Reasoning policies are a Bedrock safety and validation control that constrains model outputs against formal rules. An adversary who deletes a policy or alters the policy definition or its annotations weakens an enforced output-validation defense, potentially allowing unsafe or non-compliant model responses to pass unchecked. Benign build, test-workflow, and test-case CRUD operations are intentionally excluded as they have no coherent abuse path.↳ also matches DeleteAutomatedReasoningPolicy, UpdateAutomatedReasoningPolicyAnnotations

UpdateAutomatedReasoningPolicyAnnotations

Service: AWS-bedrock

Description

Updates the annotations on an automated reasoning policy, revising human-authored labels or metadata on its rules.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`Provider_Name`	eq	`bedrock.amazonaws.com`	1 rule	elastic

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Automated Reasoning Safety Policy Tampering source medium: Detects deletion or modification of AWS Bedrock Automated Reasoning policies via the DeleteAutomatedReasoningPolicy, UpdateAutomatedReasoningPolicy, or UpdateAutomatedReasoningPolicyAnnotations CloudTrail actions. Automated Reasoning policies are a Bedrock safety and validation control that constrains model outputs against formal rules. An adversary who deletes a policy or alters the policy definition or its annotations weakens an enforced output-validation defense, potentially allowing unsafe or non-compliant model responses to pass unchecked. Benign build, test-workflow, and test-case CRUD operations are intentionally excluded as they have no coherent abuse path.↳ also matches DeleteAutomatedReasoningPolicy, UpdateAutomatedReasoningPolicy

UpdateDataSource

Service: AWS-bedrock

Description

Updates the configuration of a data source in a Bedrock knowledge base, such as its S3 location or chunking strategy.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches CreateDataSource, DeleteDataSource, DeleteKnowledgeBase, DeleteKnowledgeBaseDocuments, IngestKnowledgeBaseDocuments, StartIngestionJob, UpdateKnowledgeBase

UpdateGuardrail

Service: AWS-bedrock

Description

Updates an existing Bedrock guardrail, modifying its content filters, topic denials, or sensitive information policies.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

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Elastic #

AWS Bedrock Guardrail Deleted or Weakened source medium: Detects deletion, weakening, or version management of AWS Bedrock guardrails via the DeleteGuardrail, UpdateGuardrail, DeleteEnforcedGuardrailConfiguration, or PutEnforcedGuardrailConfiguration APIs. Bedrock guardrails enforce content, topic, word, and sensitive-information policies on model invocations. Deleting a guardrail, loosening its policies, removing or overwriting the organization-enforced guardrail configuration, or creating a new version to enforce a weakened configuration allows an adversary to bypass these protections — the cloud control-plane equivalent of disabling a security tool. This activity should be validated against approved change management and the responsible identity.↳ also matches DeleteEnforcedGuardrailConfiguration, DeleteGuardrail, PutEnforcedGuardrailConfiguration

UpdateKnowledgeBase

Service: AWS-bedrock

Description

Updates the configuration of a Bedrock knowledge base, such as its description, role ARN, or storage configuration.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Knowledge Base or RAG Data Source Tampering source medium: Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.↳ also matches CreateDataSource, DeleteDataSource, DeleteKnowledgeBase, DeleteKnowledgeBaseDocuments, IngestKnowledgeBaseDocuments, StartIngestionJob, UpdateDataSource

UpdateProvisionedModelThroughput

Service: AWS-bedrock

Description

Updates a provisioned throughput commitment for a Bedrock model, modifying its model units or model ID.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Provisioned Model Throughput Tampering source medium: Detects creation, modification, or deletion of AWS Bedrock Provisioned Model Throughput via the CreateProvisionedModelThroughput, UpdateProvisionedModelThroughput, and DeleteProvisionedModelThroughput APIs. Provisioned Throughput reserves dedicated, billed model capacity for Amazon Bedrock. An adversary who scales this capacity up can drive large, unauthorized cost (cloud resource/bill hijacking), while deleting reserved throughput can cause denial of service to production workloads that depend on that committed capacity. These control-plane changes should be validated against approved capacity-planning and change-management processes.↳ also matches CreateProvisionedModelThroughput, DeleteProvisionedModelThroughput

ListFoundationModels

Service: AWS-bedrock

Description

Returns a list of Amazon Bedrock foundation models available for use, including their providers, modalities, and inference types.

Fields #

Name	Description
`eventName`	The name of the API action that was called.
`eventSource`	The AWS service endpoint that received the request (e.g. iam.amazonaws.com).
`eventType`	CloudTrail event category: AwsApiCall, AwsConsoleSignIn, AwsConsoleAction, AwsServiceEvent, or AwsVpceEvents.
`userIdentity`	The IAM entity that made the request (type, principalId, arn, accountId, sessionContext).
`sourceIPAddress`	IP address of the caller, or the AWS service principal for service-initiated calls.
`awsRegion`	AWS Region the request was made to.
`requestParameters`	Parameters sent with the request. Shape is action-specific; null when none.
`responseElements`	Response elements. Shape is action-specific; null for reads or when absent.
`errorCode`	AWS service error code when the request failed. Absent on success.
`errorMessage`	Description of the error when errorCode is present.

Common Indicators #

Field/value combinations most frequently checked by detection rules targeting this event, derived from cross-vendor predicate analysis.

Field	Kind	Value	Rules	Vendors
`aws::eventSource`	eq	`bedrock.amazonaws.com`	1 rule	panther, splunk
`aws::userIdentity.accessKeyId`	starts_with	`AKIA`	1 rule	elastic
`count`	gt	`9`	1 rule	splunk

Detection Rules #

View all rules referencing this event →

Elastic #

AWS Bedrock Foundation Model Enumeration Followed by Invocation via Long-Term Key source high: Detects when an AWS principal using long-term IAM user credentials (AKIA* access key) enumerates available Bedrock foundation models and then invokes a model within the same 15-minute window. Most legitimate Bedrock workloads run under IAM roles with short-lived credentials; the combination of model enumeration followed by direct model invocation from a long-term IAM user key is unusual in production environments and consistent with an adversary using stolen credentials to discover and exploit available AI model capabilities. This pattern is associated with LLMjacking attacks where threat actors abuse compromised cloud credentials to run high-volume or high-cost model inference at the account owner's expense.

Splunk #

AWS Bedrock High Number List Foundation Model Failures source: The following analytic identifies an high number of AccessDenied attempts to list AWS Bedrock foundation models. It leverages AWS CloudTrail logs to detect when a user or service experiences multiple failures when calling the…

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`type:`	`events` / `rules` / `providers`
`vendor:`	`sigma` / `elastic` / `splunk` / `kusto` / `chronicle` (vendor name alone also works: `sigma:`, `kql:`, `secops:`…)
`tactic:`	TA-id, slug, or name: `credential_access`, `TA0006`
`technique:`	technique or sub-technique ID: `T1003`, `T1003.001` (alias `tech:`)
`severity:`	`critical` / `high` / `medium` / `low` / `informational` (alias `sev:`)
`risk_score`	Numeric comparison on the Elastic risk score (0 to 100): `risk_score>50`, `risk_score<=20`, `risk_score=99` (alias `risk`; Elastic rules only)
`stages:`	Rules with exactly N pipeline stages
`correlation:`	`single_event` / `sequence` / `alternatives` / `alternatives_cross_log` / `all_required` / `correlated`
`with:`	Co-occurrence event-id; stacks (`with:4624 with:4769`) to require all, while a comma list in one occurrence (`with:4624,4769`) is an either-or group. Implies multi-event
`like:`	Structural neighbors of a rule slug (equivalents + subsumption stricter / broader): `like:comsvcs_lsass_memory_dump-splunk-sysmon`
`groupby:`	Entity-grouping substring match against `group_by_keys`: `groupby:user`, `groupby:host`
`uses:`	Rules whose predicate tree touches the field (any kind, any value): `uses:CommandLine`
`excludes:`	Rules with top-level `not()` clauses on the field (FP whitelists): `excludes:ParentImage`
`field:` / `value:`	Predicate search; narrows rule cards to those with a matching leaf and drives the indicator tier. Unquoted = substring, wildcards allowed (`value:mimikatz`)
`indicator:`	Shorthand for `field:F value:V`: `indicator:Image=*\powershell.exe`
`kind:`	Filter by predicate kind. Narrows rule cards to those carrying a matching predicate leaf (`vendor:elastic kind:cidr_match`) and drives the indicator tier: `contains` / `starts_with` / `ends_with` / `regex` / `cidr` / `eq` / `in` … (operator aliases `op:`/`match:`)
`has:` / `no:`	`sample`, `field`, `notes`, `refs`, `trace`, `thirdparty`, `rule`, `pattern`, `timewindow`, `threshold`, `newterms`, `sigma`/`elastic`/`splunk`/`kusto`/`chronicle`
`-op:val`	Exclude matches; works on most operators but not `type:`/`like:`/`has:`/`no:` (use `no:<flag>` to exclude a rule flag): `tactic:execution -vendor:splunk`. Standalone `-kind:`/`-field:`/`-value:` drop every rule carrying a matching predicate leaf (`type:rules -kind:is_null`)
`field:"…"` / `value:"…"`	Quoted value = anchored exact match (also allows spaces): `value:"net user"`
`a,b`	Comma = OR inside one operator (`vendor:sigma,elastic`, `severity:high,critical`); repeating a facet merges the same way. `field:`/`value:` never split (literal commas)
`vendors:` / `stage:`	Singular and plural spellings fold to the canonical operator and value: `tactics:` = `tactic:`, `type:event` = `type:events`, `correlation:sequences` = `correlation:sequence`, `has:thresholds` = `has:threshold`
`"quoted phrase"`	Exact-match a multi-word phrase (free text)