Agent Workload
An agent workload is the running compute unit that hosts an AI agent's execution—such as a container, Lambda function, or process—which may invoke multiple tools and sub-agents during a single task.
Why this matters for AI agents
Agent workloads can invoke dozens of tools in a single run. Without per-call enforcement, a single compromised or misbehaving agent can abuse broad workload-level access.
How AgntID relates
AgntID attaches enforcement policy to agent workloads so every tool call made by any agent running in that workload is evaluated against per-task, per-tool policy.
The static IAM gap
Workload-level IAM grants broad permissions to the entire compute unit. Individual tool calls within the workload are not evaluated separately.
Related phrases
Related terms
Frequently asked questions
What is an agent workload?
An agent workload is the running compute unit that hosts an AI agent's execution—such as a container, Lambda function, or process—which may invoke multiple tools and sub-agents during a single task.
Why is per-workload IAM insufficient for agents?
Workload-level IAM grants broad permissions to the entire compute unit. A single compromised or misbehaving agent can abuse the full workload access scope without per-call enforcement.
How does AgntID enforce policy at the agent workload level?
AgntID attaches enforcement policy to agent workloads so that every tool call made by any agent running in that workload is evaluated against per-task, per-tool policy.
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.