
Press Releases
The Gravitee State of AI Agent Security 2026 Report Confirms What Stryker Already Proved: 3 Million Ungoverned AI Agents Are Now Production Infrastructure — and the Frameworks to Secure Them Don't Exist Yet.
Contact: Joseph Conroy • Email Contact
The Stryker attack used no malware and triggered no alerts — because EDR detects endpoint artifacts, and this attack had none. Handala weaponized a legitimate management platform. VectorCertain's SecureAgent governs commands before execution, blocking the wipe in under 1 millisecond.
Contact: Joseph Conroy • Email Contact
The "Agents of Chaos" Study Deployed Six Autonomous AI Agents With Real Tools and Real Access. They Were Compromised Using Nothing But Conversation. The Researchers' Conclusion Matches VectorCertain's 55-Patent Architecture Word for Word.
Contact: Joseph Conroy • Email Contact
VectorCertain Analyzed 3,434 OpenClaw Pull Requests Using Multi-Model Consensus, Identified Systemic Governance Failures, and Offered Creator Peter Steinberger a No-Cost SecureAgent License. He Joined OpenAI Instead. OpenAI Then Spent Millions Acquiring Promptfoo to Try to Solve the Problem VectorCertain Had Already Solved.
Contact: Joseph Conroy • Email Contact
IBM's own data proves the detect-and-respond model doesn't just fail technically — it fails economically. The industry built a $200B+ cost structure on top of the assumption that attackers will get in. VectorCertain's SecureAgent was built on the opposite assumption.
Contact: Joseph Conroy • Email Contact

MITRE's published ER7 data exposes the structural ceiling of detect-and-respond architecture. VectorCertain's SecureAgent — evaluated against the same ER7 adversary emulations across 38 techniques, 3 adversaries, and 14,208 tests — blocked every attack. Zero failures.
Contact: Joseph Conroy • Email Contact

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.
Contact: Joseph Conroy • Email Contact

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.
Contact: Joseph Conroy • Email Contact

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.
Contact: Joseph Conroy • Email Contact

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 Contact