Five Checks for Assessing AI Agents Before Deploying Them in a Production SOC
Summary
A guide to evaluating SOC AI agents before production deployment, emphasizing data sovereignty, explainable verdicts, customizable runbooks, access to underlying telemetry, and visibility into activity surrounding alerts.
Key points
- Teams should establish where models run, which providers can access security data, and how long that data is retained.
- Agents should expose the evidence and reasoning behind their verdicts so analysts can review decisions and maintain an audit trail.
- Customizable runbooks can give agents detection context, false-positive guidance, and investigation steps.
- Agents need access to underlying logs and telemetry—not just shortened alert summaries—to assess broader activity.
- Investigation timelines should show activity before and after alerts to help analysts understand incident scope and potential spread.
Article Details
- Topic
- Production-readiness considerations for AI agents used in security operations centers