AletheionAGI has launched a new security-focused grounding layer designed to provide persistent, authorized memory for AI systems while preventing unsupported claims from reaching customer-facing interfaces.

Key Points

• The system utilizes a "fail-closed" boundary to block AI responses that lack verified evidence or violate defined security policies.
• Performance testing on 979 support questions achieved a 93.6% recall rate and a 66.5% diagnostic answer score.
• The architecture supports 22 distinct failure classes, including protection against prompt injection, cross-namespace leakage, and malicious feedback.
• AletheionAGI functions as an integration layer that works with existing AI readers, allowing companies to maintain their own infrastructure.
• A one-time, 1,000-query proof-of-concept plan is available for R$ 99 to test the system's grounding and retrieval capabilities.

Why it Matters

This technology addresses the critical business risk of AI "hallucinations" by enforcing strict provenance and authorization over the data used in customer interactions. By separating the AI reader from the grounding boundary, companies can improve the reliability of their automated agents without replacing their existing AI infrastructure.