{
  "Name": "Vaikora-Sentinel",
  "Author": "Data443 Risk Mitigation, Inc. - support@data443.com",
  "Logo": "<img src=\"https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/Logos/vaikora_logo.svg\" width=\"75px\" height=\"75px\">",
  "Description": "The [Vaikora AI Agent Behavioral Signals](https://vaikora.com) solution integrates Vaikora AI agent behavioral data into Microsoft Sentinel using the Codeless Connector Framework (CCF). The solution deploys a REST API poller connector, a custom log table (Vaikora_AgentSignals_CL), analytics rules, and visualization workbook to help security teams monitor AI agent activity, detect behavioral anomalies, and investigate policy violations.",
  "Data Connectors": [
    "Data Connectors/VaikoraSentinel_CCF/Vaikora_ConnectorDefinition.json"
  ],
  "Analytic Rules": [
    "Analytic Rules/Vaikora - High Risk AI Agent Action.yaml",
    "Analytic Rules/Vaikora - Behavioral Anomaly Detected.yaml",
    "Analytic Rules/Vaikora - Agent Policy Violation.yaml"
  ],
  "Workbooks": [
    "Workbooks/VaikoraAgentSignalsDashboard.json"
  ],
  "WorkbookDescription": "This workbook provides visualization and monitoring for Vaikora AI agent behavioral signals including action timelines, severity breakdowns, anomaly detection, and policy violations.",
  "Metadata": "SolutionMetadata.json",
  "BasePath": "C:\\GitHub\\Azure-Sentinel\\Solutions\\Vaikora-Sentinel",
  "Version": "3.0.1",
  "TemplateSpec": true,
  "Is1Pconnector": false
}