Execution-Time Access Control
Execution-time access control evaluates whether an AI agent action is allowed at the moment the agent attempts to invoke a tool, using the current task context, policy, intent signal, and agent identity as inputs to the access decision.
Why this matters for AI agents
Agent behavior is dynamic. Access decisions made at configuration time cannot account for the specific tools, parameters, and context of each call an agent makes during execution.
How AgntID relates
Execution-time access control is the central capability AgntID provides—every tools/call request is evaluated at the point of invocation, not at configuration time.
The static IAM gap
IAM makes access decisions at configuration time by assigning roles and permissions. It cannot evaluate access at the moment of each tool invocation during agent execution.
Related phrases
Related terms
Frequently asked questions
What is execution-time access control?
Execution-time access control evaluates whether an AI agent action is allowed at the moment the agent attempts to invoke a tool, using the current task context, policy, intent signal, and agent identity as inputs to the access decision.
Why does agent access control need to happen at execution time?
Agent behavior is dynamic. Access decisions made at configuration time cannot account for the specific tools, parameters, and context of each call an agent makes during execution.
How does AgntID implement execution-time access control?
AgntID intercepts every tools/call request and evaluates it against policy at the point of invocation, using agent identity, task context, intent signal, and access policy as inputs.
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.