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AgentProtect

Give AI agents permissions - not unlimited access.

AgentProtect establishes runtime boundaries around what autonomous agents may access, execute, modify, and communicate with.

See AgentProtect in Action

1 / 4 Concept

Know who is actually taking the action.

A human identity can launch an agent, which launches a shell, which invokes another tool. AgentProtect carries execution context so policy is applied to the autonomous actor behind the action.

Execution lineage

Alice
↓
Claude Code
↓
bash
↓
kubectl
↓
production

Input

Actor

Normalize

Action

Local policy

Decision

ALLOW continues
BLOCK terminates

2 / 4 Define

Authorize the action, not just the application.

Same tool. Same user. Different action. Different decision.

Policy targeting and engine modes are defined centrally, then applied to endpoints in scope.

3 / 4 Enforce

See what was detected versus prevented.

Runtime outcomes are captured as operational evidence with actor, engine, endpoint, severity, and status.

Enforcement outcomes are tracked with event detail for triage and investigation.

4 / 4 Observe & Investigate

Security teams need operations, not another feed.

Audit and enforcement signals appear in the same control plane used to track posture, risk trends, and remediation.

Operational dashboard for ongoing AI Agent Control Company outcomes.

See the boundary before enforcing it.

Audit Mode records autonomous actions and policy outcomes without disrupting workflows, giving security teams evidence before enforcement is activated.

Test the Boundary