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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.

Contact: Joseph Conroy[email protected]12078099075

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.

Contact: Joseph Conroy[email protected]12078099075

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.

Contact: Joseph Conroy[email protected]12078099075

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.

Contact: Joseph Conroy[email protected]12078099075

“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.

Contact: Joseph Conroy[email protected]12078099075

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

Contact: Joseph Conroy[email protected]12078099075

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