Modernising threat hunting: Using Semantic Search to Find Risky AI Agent Behavior
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I tested vector search on 7,454 turns of my own agent sessions. One in seven sessions needed review, the agent’s reasoning carried more signal than the prompt, and the stored vectors answer questions nobody thought to ask at ingest.
Also covered by
- Elastic Security Labs