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])
eventGroupingSettings:
aggregationKind: SingleAlert
requiredDataConnectors:
- connectorId: BoschAIShield
dataTypes:
- AIShield
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AIShield AI Security Monitoring/Analytic Rules/TimeSeriesForecastingModelExtractionHighSuspiciousVulnDetection.yaml
triggerThreshold: 0
status: Available
relevantTechniques: []
queryPeriod: 1h
name: AIShield - Timeseries Forecasting AI Model extraction high suspicious vulnerability detection
entityMappings:
- entityType: Host
fieldMappings:
- columnName: HostName
identifier: HostName
- columnName: NTDomain
identifier: NTDomain
- entityType: IP
fieldMappings:
- columnName: SourceName
identifier: Address
alertDetailsOverride:
alertTacticsColumnName:
alertSeverityColumnName: Severity
alertDisplayNameFormat: AIShield -Timeseries Forecasting AI Model extraction high suspicious vulnerability detected.
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.
queryFrequency: 1h
triggerOperator: gt
kind: Scheduled
description: |
'This alert creates an incident when Timeseries Forecasting AI Model extraction high suspicious, high severity vulnerability detected from the AIShield.'
tactics: []
severity: High
version: 1.0.4
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])
id: 37118ef6-73b4-49aa-b13b-cdeeeea580df