Summary
This white paper presents the New Trust Architecture for AI, which addresses the challenges of securing AI agents, models, and content through cryptographic proof. It outlines the transformation in digital trust necessitated by the use of artificial intelligence, where traditional governance methods are inadequate due to the rapid and autonomous nature of AI actions. The paper details a unified approach to trust management that includes a three-layer defense architecture designed by DigiCert, which emphasizes control from the network edge to execution core. This architecture incorporates DNS-based enforcement and standards-based identities to enhance trust among AI systems and the content they produce. Additionally, it explains the need for intelligent trust, which guarantees the identity, authorization, and integrity of AI-driven activities. The document further discusses the rise of shadow AI, highlighting the importance of visibility and control over AI agents operating outside formal governance, thus establishing the necessity for evolving trust frameworks in the AI landscape.
