narco-check

Memory integrity auditing identifies hallucinations, circular confirmations, and state poisoning to maintain trustworthiness in AI memory systems. It runs automatic or scheduled checks to detect poisoned data and validate system health through multi-step grounding procedures.

You can automate daily memory health assessments by invoking an integrity audit function after setup. It performs automatic checks to validate system logs, files, and endpoints, preventing false information propagation across your AI agents.

Multi-step grounding verifies AI system state correctness by performing detailed checks on system logs, files, and endpoints. This strict grounding procedure enforces model usage rules to validate system health and detect data inconsistencies.

Yes, automated auditing is specifically applicable in environments requiring high trust in AI memory consistency and security. It enforces strict model usage and detailed grounding procedures to continuously validate system health and prevent state corruption.

The best way to prevent false information propagation is through continuous validation using automated or scheduled memory integrity audits. This identifies hallucinated or poisoned data early, stopping circular confirmations from degrading AI memory trustworthiness.