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GuideMIT

Intent Drift Playbook

The jailbreak no single-turn scanner can see.

Automated red-teaming frameworks score a model prompt by prompt. Intent drift is cumulative: every turn is locally consistent with the last, and the divergence is only visible against the original instructions.

  • A working taxonomy of gradual drift, persona anchoring and trust escalation.
  • Four detection approaches in order of cost, from embedding-based goal-consistency scoring to session-level anomaly detection.
  • A map of which existing observability tools give you which primitive.

Know the limit

A practitioner playbook, not software. No tool is purpose-built for drift detection yet.

Used in the guide