Terms that describe visibility, traceability, and proof of agent access decisions.
4 terms in this cluster
An agent audit trail is a tamper-evident log of all tool calls made by an AI agent during a task, including the agent identity, tool name, parameters, policy decision, and outcome for each invocation.
An execution trace is a record of the sequence of tool invocations, policy evaluations, and outcomes produced by an AI agent during a task, enabling post-hoc analysis of agent behavior.
An access decision log is a record of every allow or deny decision made by a policy engine for agent tool calls, including the inputs to the decision and the rationale.
Agent security observability is the ability to understand, in real time and post-hoc, what tools an AI agent invoked, what access decisions were made, and whether those decisions were appropriate—providing the visibility needed to detect and respond to agent security events.
Runtime Enforcement
Terms that define AgntID's runtime enforcement category.
Policy and Access Decisions
Terms that describe how tool-call access decisions are made.
Agent Security Failure Modes
Terms that describe what can go wrong when agents act with broad access.
Credentials and Secrets
Terms that describe how access is scoped, narrowed, issued, or constrained.
AI Agent Access Control Glossary
Browse the full glossary to understand the complete vocabulary of execution-time access control for AI agents.
Back to Glossary hubAgntID gives infrastructure teams scoped, ephemeral access control for AI agents without replacing IAM, MCP servers, tools, or agent frameworks.