Policy and Intent-Driven Access
Policy and intent-driven access is the combination of formal access policy and semantic intent evaluation to produce access decisions for AI agent tool calls—considering both what the agent is permitted to do and what it is trying to accomplish.
Why this matters for AI agents
Policy alone can be gamed or misinterpreted by agents. Intent evaluation adds a semantic check that catches calls that satisfy the letter of the policy but not its spirit.
How AgntID relates
AgntID's access model combines policy (explicit rules) and optional intent evaluation (semantic analysis) to produce per-call access decisions that are both governed and context-aware.
The static IAM gap
IAM is policy-only and does not support intent evaluation. This makes it fundamentally inadequate for governing autonomous agents that make access decisions based on LLM reasoning.
Related phrases
Related terms
Frequently asked questions
What is policy and intent-driven access?
Policy and intent-driven access is the combination of formal access policy and semantic intent evaluation to produce access decisions for AI agent tool calls—considering both what the agent is permitted to do and what it is trying to accomplish.
When is intent evaluation needed alongside policy?
Policy alone can be satisfied by a call that is technically permitted but semantically out of scope. Intent evaluation adds the check that catches calls that satisfy the letter of the policy but not its spirit.
How does AgntID implement policy and intent-driven access?
AgntID's access model combines policy (explicit rules) and optional intent evaluation (semantic analysis) to produce per-call access decisions that are both governed and context-aware.
Secure every agent tool call at execution time.
AgntID gives infrastructure teams scoped, ephemeral access control for AI agents without replacing IAM, MCP servers, tools, or agent frameworks.