APort

APort is a security and authorization layer for AI agents that checks whether an action should be allowed before the tool call executes. The product combines agent identity ("passport"), policy enforcement, and proof generation so teams can verify who an agent is, define what it is allowed to do, and keep an auditable history of decisions. Public site copy emphasizes practical controls such as blocking dangerous shell commands, capping file sizes, enforcing rate limits, and producing tamper-evident logs with cryptographic proof. It is positioned as framework-agnostic, works with OpenClaw and other agent runtimes, and can run in a local-first or optional hosted model. For OpenClawMap, Security is the best fit because the core value is preventing unsafe or unauthorized agent actions before they happen rather than only observing them afterward.

Use APort when you need to stop risky agent actions before they execute, not just log them afterward. It fits especially well when an OpenClaw or other agent runtime can run shell commands, touch files, call sensitive APIs, or operate in regulated environments where permission checks and auditability matter. It is also a strong choice when you want policy guardrails plus verifiable identity and evidence around what an agent was allowed to do.