Episode #
125
AI Agent Or Info Stealer?
Over 60% of false positives trace back to vendor-provided detection rules. That finding, from a first-of-its-kind SANS report Alex Hurtado helped produce, captured why detection engineering has become its own discipline, one that treats rule management like a CI/CD pipeline.
Alex, Head of Detection Strategy at Nebulock, breaks down how AI is reshaping the detection lifecycle, from query generation to self-healing alert tuning, and flags a critical blind spot where current logs cannot distinguish a legitimate AI agent action from a malicious one.
Topics discussed:
- Treating detection rule management as a CI/CD pipeline
- Vendor rules as the leading source of false positives
- Applying AI to query generation and alert tuning
- Distinguishing AI slop from actionable threat research
- Chaining atomic detections across data sources for coverage
- Closing the visibility gap on AI agent telemetry
- Open source tools for monitoring AI agent activity
Key Takeaways:
- Treat detection rule management like a CI/CD pipeline to keep pace with evolving environments and shifting attack surfaces.
- Audit vendor-provided detection rules first when investigating false positive volume, since they account for over 60% of false positives according to the SANS report.
- Apply AI to query generation and alert tuning so detection engineers spend less time writing SPL, SQL, or AQL and more time on coverage strategy.
- Chain atomic detections across multiple data sources and TTPs to build behavior-based alert narratives instead of relying on single-event rules.
- Curate threat intelligence sources manually before feeding them into AI workflows to filter out AI-generated slop masquerading as research.
- Evaluate open source AI agent telemetry projects like Perplexity's Numbat and Huntress contributor Anton Uvrotsky's A10 to start building visibility into agent activity.
- Map your detection backlog against both internal environment changes and external threat landscape shifts to prioritize what to build next.
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