What is APC ?
APC is an AI security tool that acts as a continuity layer for AI agent systems, keeping approved actions bound to their authorization so they cannot drift between the decision and the execution. Built by Aleph Labs, APC (Action, Proof, Control) targets the gap most policy engines miss: an agent can be granted write access, then mutate the target, scope, or parameters of an approved action before it actually runs. Its exact-act binding keeps the approved action details, targets, and security parameters linked all the way through execution, and transition validation carries the governing contract across agent, tool, and provider hand-offs. A protected executor boundary makes finality checks explicit, so the system can refuse an action that no longer matches what was approved. APC also produces evidence and reconciliation records, giving an inspectable trail of what was decided versus what happened, and its test suite deliberately challenges target mutation, authority expiration, replay attacks, and finality verification. For teams weighing the best AI for securing agent write access, APC is aimed at organizations running custom orchestration, MCP, or multiple tool integrations where a blank-check grant is unacceptable. The site is candid that playground demos are not production guarantees and separates reference implementations from verified behavior.
What is APC used for?
Preventing approved AI-agent actions from drifting, mutating, or replaying between authorization and execution
How much does APC cost?
Pros and cons
Pros
- Exact-act binding keeps approved action, target, and parameters linked through execution
- Transition validation carries the governing contract across agent, tool, and provider hand-offs
- Protected executor boundary with explicit finality checks before an action commits
- Produces inspectable evidence and reconciliation records of decision versus outcome
- Test suite explicitly covers target mutation, authority expiration, and replay attacks
Cons
- Pricing is not published; evaluation is by request
- Specialized security layer, not a general agent framework or policy engine
- Best fit requires custom orchestration or MCP, so there is integration work to adopt it
- Site states production behavior is still being verified beyond synthetic tests
Questions about APC
What is APC used for?
APC is used to secure AI agents that have write access by binding each approved action to its authorization, so the target, scope, and parameters cannot be changed between the approval and the actual execution.
How is APC different from a policy engine?
A policy engine decides whether an action is allowed; APC enforces that the allowed action stays identical through every agent, tool, and provider transition and runs finality checks at a protected executor boundary before it commits.
Is APC free?
APC does not publish pricing on its site. It invites teams to request an evaluation and directs them to contact sales, so cost is quoted directly.
Who should use APC?
Organizations deploying AI agents with consequential write access, especially those using custom orchestration, MCP, or multiple tool integrations who need assurance beyond a standard authorization check.
What are the best alternatives to APC ?
Policy engines like OPA (Open Policy Agent), Permit.io, or custom MCP authorization guards
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