AIShield
| where Message has 'Timeseries Forecasting AI Model Extraction Attack Identified'
| where Severity =~ 'High'
| where SuspiciousLevel =~ 'high suspicious attack'
| extend NTDomain = tostring(split(Computer, '\\')[0]), HostName = tostring(split(Computer, '.')[0])
version: 1.0.4
tactics: []
alertDetailsOverride:
alertDescriptionFormat: |
This query detects Timeseries Forecasting AI Model extraction high suspicious, high severity alert from AIShield generated at {{TimeGenerated}}.\n\nPlease check the source for more information and investigate further.
alertSeverityColumnName: Severity
alertDisplayNameFormat: AIShield -Timeseries Forecasting AI Model extraction high suspicious vulnerability detected.
alertTacticsColumnName:
relevantTechniques: []
entityMappings:
- fieldMappings:
- identifier: HostName
columnName: HostName
- identifier: NTDomain
columnName: NTDomain
entityType: Host
- fieldMappings:
- identifier: Address
columnName: SourceName
entityType: IP
triggerThreshold: 0
name: AIShield - Timeseries Forecasting AI Model extraction high suspicious vulnerability detection
queryFrequency: 1h
triggerOperator: gt
eventGroupingSettings:
aggregationKind: SingleAlert
kind: Scheduled
description: |
'This alert creates an incident when Timeseries Forecasting AI Model extraction high suspicious, high severity vulnerability detected from the AIShield.'
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AIShield AI Security Monitoring/Analytic Rules/TimeSeriesForecastingModelExtractionHighSuspiciousVulnDetection.yaml
requiredDataConnectors:
- dataTypes:
- AIShield
connectorId: BoschAIShield
severity: High
query: |
AIShield
| where Message has 'Timeseries Forecasting AI Model Extraction Attack Identified'
| where Severity =~ 'High'
| where SuspiciousLevel =~ 'high suspicious attack'
| extend NTDomain = tostring(split(Computer, '\\')[0]), HostName = tostring(split(Computer, '.')[0])
queryPeriod: 1h
id: 37118ef6-73b4-49aa-b13b-cdeeeea580df
status: Available