Inference Memory Scope

Inference Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for model execution for user or system requests. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Inference Memory Scope when the inference route moved to a faster region, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”