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.
execution-time access controlruntime access enforcementpoint-of-call access control
Runtime Access Control
Runtime access control is the practice of making and enforcing access decisions while a workload is executing, as opposed to at configuration, provisioning, or deployment time.
runtime access controlexecution-time accessdynamic access control for agents
Access Control Enforcement for AI Agents
Access control enforcement for AI agents is the category of security infrastructure that evaluates and enforces access decisions at the agent tool-call layer, at execution time, based on policy, task context, and scoped credentials.
access control enforcement for AI agentsAI agent access controlagent authorization enforcement
Runtime Enforcement Layer
The runtime enforcement layer is the infrastructure component that intercepts agent tool calls at execution time, evaluates access policy, issues scoped credentials, and allows or denies each invocation.
runtime enforcement layeragent enforcement layerMCP enforcement layer
Per-Tool Authorization
Per-tool authorization decides whether an agent may invoke a specific tool, rather than granting or denying access to an entire server, session, API, or account.
per-tool authorizationtool-level authorizationtool-specific access control
Per-Task Authorization
Per-task authorization ties access decisions to the specific task an agent is executing, so that an agent permitted to read customer data for a summarization task is not automatically permitted to do the same for an unrelated task.
per-task authorizationtask-scoped authorizationtask-aware access control
Per-Call Enforcement
Per-call enforcement means that every individual tool invocation by an AI agent is evaluated against access policy at the moment of the call, rather than relying on session-level or configuration-time grants.
per-call enforcementper-invocation enforcementcall-level authorization
Just-for-Task Access
Just-for-task access is the principle that an AI agent should receive only the access needed for the specific task it is currently executing—and no more—with credentials that expire when the task ends.
just-for-task accesstask-scoped accesstask-duration access
Customer-Hosted Runtime
A customer-hosted runtime is an enforcement component deployed within the customer's own infrastructure rather than as a vendor-managed cloud service, ensuring that sensitive tool calls and credentials never leave the customer's environment.
customer-hosted runtimeself-hosted enforcementon-premises agent enforcement
Infrastructure-Owned Enforcement
Infrastructure-owned enforcement means that access control policy for AI agent tool calls is owned and operated by the infrastructure or security team, not embedded in agent code or dependent on agent framework behavior.
infrastructure-owned enforcementsecurity team-owned enforcementagent policy as infrastructure