Monitoring AI agent sessions: Leveraging embedding models to aid threat hunting and attack discovery workflows
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.
Summary from Elastic Security Labs.
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