AI document integrity gateway

Documents are becoming an adversarial input surface as institutions delegate evaluation to AI. Research shows that rhetorical choices can reward-hack automated peer review, while a real legal filing contained hidden instructions intended to manipulate an AI reader. The shared market implication is a new document-security layer that must detect prompt injection, persuasive manipulation and provenance risks before content enters automated review workflows.

Agent memory has accumulated enough independent evidence to leave watch status. PrivacyPeek audits what an agent acquires rather than only what it says, while a practitioner analysis frames the unresolved problem as memory returning stored facts without explaining which state changed or why it influenced an action. Combined with earlier decision receipts, retention rules and provenance controls, this establishes a distinct integrity layer for persistent memory. The next product requirement is not more recall alone, but inspectable acquisition, influence and expiration.

Persistent memory is beginning to acquire explicit integrity controls. Lians reconstructs what an agent could know at the time of a decision and exports verifiable receipts, while managed-agent builders are defining rules for what memory may store, expire, localize or pass to another session. These mechanisms directly address the existing risk of agents accumulating unsupported user profiles. The line remains early until deployed products report memory-related incidents or provenance and retention controls become common platform features.