As enterprises transition from AI pilots to autonomous, machine-speed agents, they face the Enterprise AI Trust Chasm: the conflict between the mandate for AI adoption and the security risks of using sensitive data. Without verifiable trust, enterprise AI initiatives stall in pilot purgatory. Security and compliance teams can’t approve production AI agents using sensitive data because they lack cryptographic proof of protection, enforcement, and compliance.

OPAQUE bridges this gap by providing a software trust layer that delivers verifiable runtime governance. Unlike standard security promises, OPAQUE offers cryptographically verifiable proof that data is protected and policies are enforced at every node of an agent graph. By treating every AI resource as a cryptographically verifiable agent identity, OPAQUE enables a "Before, During, and After" runtime model. Discover how leading enterprises move AI projects from pilot to production 4–5x faster, reduce costs by 67%, and increase inference accuracy by up to 3x—while protecting proprietary data and maintaining compliance