Policy-Guard

AI agents are now reading files, hitting APIs, sending emails, and triggering actions inside production systems. Most teams have no visibility into what their agents are doing, no way to catch prompt injection attacks in real time, and no audit trail a compliance officer could trust. PolicyGuard fixes all three. Built on PolicyThread — open-source AI compliance infrastructure — PolicyGuard gives enterprise security teams three capabilities in one interface. First: a Live Attack Simulator that catches prompt injections, jailbreaks, and policy violations the moment they happen. Security teams select their agent type — Customer Service, Medical Assistant, Financial Advisor, or Legal Assistant — and test any prompt against real semantic security policies evaluated by Claude. Not keyword matching. Actual understanding of what the agent is saying and whether it violates organizational rules. Second: a Declared versus Detected Intent checker. Define what your agent is supposed to do. Submit its actual response. PolicyGuard detects when the agent's behavior deviates from its stated purpose — catching scope creep, unauthorized data access, and misaligned outputs before they reach users. Third: a cryptographically signed audit trail. Every evaluation PolicyThread makes is SHA-256 hash-chained. Each record incorporates the hash of the previous record. Any modification to any historical entry immediately breaks the chain and is instantly detectable. This is not a log. It is a proof — formatted as a compliance report suitable for regulatory submission. The market is every organization deploying AI agents in production. The EU AI Act mandates ongoing behavioral monitoring for high-risk AI systems by August 2026, with fines up to €15 million for non-compliance. PolicyGuard delivers that monitoring layer today.