Securonix Policy Agent Converts Threat Research Into Detection Rules
Summary
Securonix Policy Agent uses governed AI to generate review-ready, Securonix-native detection content from supported threat research and rules, with analysts retaining control over review and deployment.
Key points
- Policy Agent analyzes supported sources, including threat research, vendor advisories, Sigma rules, and detections from other platforms.
- It generates Securonix-native Delta YAML with detection logic, criticality, MITRE ATT&CK mapping, expected log sources, and supporting assumptions.
- The tool can separate behaviors from an attack chain into focused candidate detections.
- Analysts can review and edit generated content before deployment; approved policies use standard management, versioning, and rollback.
- Generation requires role permission, deployment requires policy-management rights, and activity is recorded in the platform audit log.
- In multi-tenant deployments, generation and deployment remain scoped to the tenant where the user is operating.
Article Details
- Event Type
- Product availability announcement
- Impact
- Policy Agent helps analysts turn supported threat research into review-ready detection content with less manual rule-writing. Authorized humans review and approve policies before deployment.
Vendors
Products
Policy AgentSecuronix Policy Agent turns threat research into detections faster—reducing manual rule-writing and returning time to detection engineers.Securonix Agentic MeshPolicy Agent operates through Securonix Agentic Mesh, the governed execution layer within Unified Defense SIEM.Securonix Unified Defense SIEMBuilt into Securonix Unified Defense SIEM, Policy Agent applies governed AI to the detection-engineering workflow.