AIShield - Timeseries Forecasting AI Model extraction high suspicious vulnerability detection

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Id	37118ef6-73b4-49aa-b13b-cdeeeea580df
Rulename	AIShield - Timeseries Forecasting AI Model extraction high suspicious vulnerability detection
Description	This alert creates an incident when Timeseries Forecasting AI Model extraction high suspicious, high severity vulnerability detected from the AIShield.
Severity	High
Required data connectors	BoschAIShield
Kind	Scheduled
Query frequency	1h
Query period	1h
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AIShield AI Security Monitoring/Analytic Rules/TimeSeriesForecastingModelExtractionHighSuspiciousVulnDetection.yaml
Version	1.0.4
Arm template	37118ef6-73b4-49aa-b13b-cdeeeea580df.json

KQL

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])

YAML

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

ARM

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "workspace": {
      "type": "String"
    }
  },
  "resources": [
    {
      "apiVersion": "2024-01-01-preview",
      "id": "[concat(resourceId('Microsoft.OperationalInsights/workspaces/providers', parameters('workspace'), 'Microsoft.SecurityInsights'),'/alertRules/37118ef6-73b4-49aa-b13b-cdeeeea580df')]",
      "kind": "Scheduled",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/37118ef6-73b4-49aa-b13b-cdeeeea580df')]",
      "properties": {
        "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.\n",
          "alertDisplayNameFormat": "AIShield -Timeseries Forecasting AI Model extraction high suspicious vulnerability detected.",
          "alertSeverityColumnName": "Severity",
          "alertTacticsColumnName": null
        },
        "alertRuleTemplateName": "37118ef6-73b4-49aa-b13b-cdeeeea580df",
        "customDetails": null,
        "description": "'This alert creates an incident when Timeseries Forecasting AI Model extraction high suspicious, high severity vulnerability detected from the AIShield.'\n",
        "displayName": "AIShield - Timeseries Forecasting AI Model extraction high suspicious vulnerability detection",
        "enabled": true,
        "entityMappings": [
          {
            "entityType": "Host",
            "fieldMappings": [
              {
                "columnName": "HostName",
                "identifier": "HostName"
              },
              {
                "columnName": "NTDomain",
                "identifier": "NTDomain"
              }
            ]
          },
          {
            "entityType": "IP",
            "fieldMappings": [
              {
                "columnName": "SourceName",
                "identifier": "Address"
              }
            ]
          }
        ],
        "eventGroupingSettings": {
          "aggregationKind": "SingleAlert"
        },
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AIShield AI Security Monitoring/Analytic Rules/TimeSeriesForecastingModelExtractionHighSuspiciousVulnDetection.yaml",
        "query": "AIShield\n| where Message has 'Timeseries Forecasting AI Model Extraction Attack Identified'\n| where Severity =~ 'High'\n| where SuspiciousLevel =~ 'high suspicious attack'\n| extend NTDomain = tostring(split(Computer, '\\\\')[0]), HostName = tostring(split(Computer, '.')[0])\n",
        "queryFrequency": "PT1H",
        "queryPeriod": "PT1H",
        "severity": "High",
        "status": "Available",
        "subTechniques": [],
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [],
        "techniques": [],
        "templateVersion": "1.0.4",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0
      },
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
    }
  ]
}