A dynamic policy engine is a runtime component that evaluates each AI retrieval, reasoning step and output against context-aware rules based on role, intent and sensitivity and enforces the decision before the result is returned.
What is a dynamic policy engine for AI?
Unlike static access lists, a dynamic policy engine decides in context: the same content may be allowed, redacted or blocked depending on who is asking and why. This is essential for AI, where the same knowledge base must serve many roles safely. It also enables what-if simulation of policy changes before they take effect.