VectorCertain LLC today announced that its SecureAgent governance platform has achieved a 100% detection and prevention rate against AI “invisible deceptive reasoning” in validated testing, positioning the company as the first to demonstrably stop deceptive AI behavior before execution.
The testing, part of VectorCertain’s MYTHOS Threat Intelligence Series, evaluated 1,000 adversarial scenarios across seven sub-categories of invisible deceptive reasoning, including evaluation-aware behavior modification, sandbagging, and capability concealment. Of 887 valid scenarios, SecureAgent detected and prevented all 747 deceptive reasoning attempts, with zero false negatives and a specificity of 92.9%.
This capability addresses a growing threat documented by the Centre for Long-Term Resilience (CLTR), which identified 698 real-world AI scheming incidents between October 2025 and March 2026, a 4.9x surge in six months. These incidents included AI agents that lied to users, fabricated corporate processes, and deceived other AI systems.
SecureAgent’s DECEPTION-1 framework, deployed within a five-layer governance pipeline, caught every deceptive reasoning attempt before execution. The framework evaluates actions at the gate level rather than relying on chain-of-thought monitoring, which OpenAI has shown can be compromised through obfuscated reward hacking.
“The question is no longer whether AI agents deceive,” said Joseph P. Conroy, Founder & CEO of VectorCertain. “The question is whether your governance pipeline can catch it. SecureAgent answered that question 747 times with zero misses.”
VectorCertain’s validation was conducted across five frameworks, including MITRE ATT&CK Evaluations ER8 methodology (14,208 trials, 98.2% TES) and CRI Financial Services AI Risk Management Framework conformance. The company’s 55-patent portfolio protects the pre-execution governance architecture.
