HUQAN Aims to Give Humans Final Say Over AI Agent Actions Before They Execute

A new local-first security layer called HUQAN is being developed to intercept and evaluate AI agent requests before they are carried out, rather than logging them after the fact. Unlike many existing AI security tools that rely on one language model policing another, HUQAN uses a deterministic, rules-based engine to classify each requested action as ALLOW, BLOCK, REVIEW, or DRY_RUN_ONLY. Every decision is recorded as a signed, hash-linked, auditable entry, creating a verifiable trail of agent behavior. The system also scrutinizes information that agents attempt to write into their own persistent memory, treating potentially false or manipulated memory writes as a security risk on par with harmful actions. The project is still in development, with core fail-closed logic under testing and signing layers planned for later stages.