Detection rules › Kusto

Vaikora - Behavioral anomaly detected

This is a third-party alert feed, not a detection over modeled telemetry. The vendor product raised the finding; this rule forwards it into the SIEM. It is searchable for reference but is excluded from the detection-rule browse and the ATT&CK coverage matrix.

Status: available
Severity: medium
Time window: 1h
Group by: AgentId, Severity
Source: github.com/Azure/Azure-Sentinel

Identifies AI agent behavioral anomalies flagged by Vaikora with an anomaly score of 0.7 or above, indicating significant deviation from the agent's established behavioral baseline.

MITRE ATT&CK coverage

Tactic	Techniques
Execution	`T1059` Command and Scripting Interpreter
Stealth	`T1027` Obfuscated Files or Information

Rule body kusto

id: e61258ec-1a7f-454c-95b5-458a6edb1ea4
name: Vaikora - Behavioral anomaly detected
description: |
  Identifies AI agent behavioral anomalies flagged by Vaikora with an anomaly score of 0.7 or above, indicating significant deviation from the agent's established behavioral baseline.
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: VaikoraSentinel
    dataTypes:
      - Vaikora_AgentSignals_CL
queryFrequency: 30m
queryPeriod: 1h
triggerOperator: GreaterThan
triggerThreshold: 0
tactics:
  - DefenseEvasion
  - Execution
relevantTechniques:
  - T1059
  - T1027
query: |
  Vaikora_AgentSignals_CL
  | where TimeGenerated > ago(1h)
  | where is_anomaly_b == true
  | where anomaly_score_d >= 0.7
  | summarize
      AnomalyCount = count(),
      MaxAnomalyScore = max(anomaly_score_d),
      AvgAnomalyScore = avg(anomaly_score_d),
      AnomalyReasons = make_set(anomaly_reason_s),
      ActionTypes = make_set(action_type_s)
    by AgentId = agent_id_s, Severity = severity_s
  | extend
      ReasonList = strcat_array(AnomalyReasons, "; "),
      ActionList = strcat_array(ActionTypes, ", ")
suppressionDuration: 30m
suppressionEnabled: false
incidentConfiguration:
  createIncident: true
  groupingConfiguration:
    enabled: true
    reopenClosedIncident: false
    lookbackDuration: 1h
    matchingMethod: Selected
    groupByEntities:
      - Account
eventGroupingSettings:
  aggregationKind: AlertPerResult
customDetails:
  MaxAnomalyScore: MaxAnomalyScore
  AvgAnomalyScore: AvgAnomalyScore
  AnomalyCount: AnomalyCount
  AnomalyReasons: ReasonList
  ActionTypes: ActionList
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: Name
        columnName: AgentId
version: 1.0.0
kind: Scheduled

Stages and Predicates

Stage 1: `source`

Vaikora_AgentSignals_CL

Stage 2: `where`

| where TimeGenerated > ago(1h)

Stage 3: `where`

| where is_anomaly_b == true

Stage 4: `where`

| where anomaly_score_d >= 0.7

Stage 5: `summarize`

| summarize
    AnomalyCount = count(),
    MaxAnomalyScore = max(anomaly_score_d),
    AvgAnomalyScore = avg(anomaly_score_d),
    AnomalyReasons = make_set(anomaly_reason_s),
    ActionTypes = make_set(action_type_s)
  by AgentId = agent_id_s, Severity = severity_s

Stage 6: `extend`

| extend
    ReasonList = strcat_array(AnomalyReasons, "; "),
    ActionList = strcat_array(ActionTypes, ", ")

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

Field	Kind	Values
`anomaly_score_d`	ge	`0.7` transforms: `cased`
`is_anomaly_b`	eq	`true` transforms: `cased`

Output fields

Fields the rule emits when it matches. Chronicle authors list these in the outcome block; they appear on the detection and $risk_score drives alerting. Sentinel / Defender XDR rules build them up through project / summarize / extend stages. Sentinel maps these into alert fields via entityMappings and customDetails; Defender XDR custom detections surface them as alert fields directly.

Field	Source
`ActionTypes`	`summarize`
`AgentId`	`summarize`
`AnomalyCount`	`summarize`
`AnomalyReasons`	`summarize`
`AvgAnomalyScore`	`summarize`
`MaxAnomalyScore`	`summarize`
`Severity`	`summarize`
`ActionList`	`extend`
`ReasonList`	`extend`

`j` / `k`	Scroll down / up
`d` / `u`	Half-page down / up
`gg` / `G`	Top / bottom
`h` / `l`	History back / forward
`f`	Follow link (`Shift` = new tab)
`/`	Focus search
`?`	Toggle this help
`↑` / `↓`	Navigate search results
`Enter`	Open highlighted result
`Esc`	Close results / dialog

`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)

Vaikora - Behavioral anomaly detected

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `where`

Stage 5: `summarize`

Stage 6: `extend`

Indicators

Output fields

Keyboard shortcuts

Search operators

Vaikora - Behavioral anomaly detected

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Stage 1: source

Stage 2: where

Stage 3: where

Stage 4: where

Stage 5: summarize

Stage 6: extend

Indicators

Output fields

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `where`

Stage 5: `summarize`

Stage 6: `extend`