VectorCertain News Room

VectorCertain's AIEOG Conformance Suite — the first commercial platform mapped against the U.S. Treasury's FS AI RMF — reveals that the convergence the entire industry is calling for already exists: 278 CRI Profile cybersecurity diagnostic statements and 230 FS AI RMF AI control objectives unified through a single six-layer prevention architecture.

VectorCertain's analysis of the autonomous agent threat surface reveals that financial services are structurally unable to address: agents that act before any monitoring system can respond. Only pre-execution governance — completing in 0.27 milliseconds, before the agent acts — closes the gap.

VectorCertain's AIEOG Conformance Suite reveals that the Prevention Gap has a physical address: over 1.2 billion processors which process trillions of dollars daily with no on-device AI defense capability, while AI-enabled fraud accelerates toward $40 billion by 2027. VectorCertain deploys AI Safety & Governance on the hardware already in place.

VectorCertain's AIEOG Conformance Suite reveals that 97% of the FS AI RMF's 230 AI control objectives operate in detect-and-respond mode, while the cost data proves prevention is 10–100x more economical. In an era of autonomous agents acting in milliseconds, the framework governs a world that no longer exists.

Eight-document, 74,000-word analysis maps VectorCertain's patented six-layer prevention architecture and SecureAgent platform against the Treasury's 230 AI control objectives and 278 CRI Profile cybersecurity diagnostic statements, capable of governing AI at the speed autonomous agents demand.

21 patents filed across a governance-first, hub-and-spoke architecture spanning autonomous vehicles, cybersecurity, healthcare, financial services, blockchain, energy, manufacturing, and government AI certification.

Groundbreaking AI consensus platform analyzes 3,434 pull requests, uncovering that 20% are duplicates in one of the world's most popular open-source projects.

“The AI Agent Crisis” draws on Carnegie Mellon, MIT, and RAND research to present the first comprehensive framework for enterprise AI agent success—while VectorCertain’s forthcoming SecureAgent platform prepares to deliver the production-grade answer.

Breakthrough Technology Enables 256-Model Ensembles Running on Legacy Hardware—Representing the Same Paradigm Shift for AI Safety That Transistors Represented for Computing.