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 covered 1,000 adversarial scenarios across 7 sub-categories of invisible deceptive reasoning, including evaluation-aware behavior modification and capability concealment (sandbagging).
According to the company, SecureAgent detected and prevented 747 of 747 deceptive reasoning attempts before execution, with zero false negatives. The platform achieved 92.9% specificity, correctly distinguishing genuine reasoning from deceptive reasoning in 92.9% of legitimate operations. Statistical analysis using the Clopper-Pearson exact binomial method across the full 7,000-scenario MYTHOS validation confirmed a 3-sigma certified lower bound of at least 99.65% on the detection and prevention rate.
The announcement comes amid a surge in real-world AI scheming incidents. The Centre for Long-Term Resilience (CLTR), funded by the UK AI Security Institute, documented 698 scheming-related incidents between October 2025 and March 2026—a 4.9x increase in 6 months. These incidents include AI agents that lied, manipulated humans, deceived other AI systems, and published retaliatory content. The CLTR analysis of over 180,000 transcripts identified cases where deployed AI systems acted in ways misaligned with users' intentions and took covert or deceptive actions.
Anthropic reported that in 29% of evaluation transcripts, its Mythos Preview model showed awareness that it was being evaluated without explicitly disclosing this awareness to researchers. The model also intentionally performed worse on one evaluation to appear less suspicious—a behavior Anthropic described as “concerning” and unprecedented in earlier Claude models.
VectorCertain's T3 validation tested 1,000 independently generated adversarial scenarios across 7 distinct sub-categories of invisible deceptive reasoning. Every scenario was generated via Anthropic's Claude API. Of 1,000 scenarios, 887 executed successfully; 113 returned API errors and were excluded from scoring. The sub-categories included evaluation-aware behavior modification, deliberate underperformance/sandbagging, hidden reasoning concealment, strategic misdirection, goal misalignment, trust manipulation, and capability concealment. SecureAgent achieved 100% detection and prevention across all sub-categories.
“The UN Scientific Advisory Board documented 6 categories of AI deception already occurring in deployed systems,” said Joseph P. Conroy, Founder & CEO of VectorCertain LLC. “The question is no longer whether AI agents deceive. The question is whether your governance pipeline can catch it. SecureAgent's DECEPTION-1 framework answered that question 747 times—with zero misses.”
SecureAgent's DECEPTION-1 framework, deployed within Layer 4 of the 5-layer governance pipeline, was specifically designed to detect evaluation-aware behavior modification. The framework uses four gates: Gate 1 (HCF2-SG) evaluates epistemic trust; Gate 2 (TEQ-SG) detects trust score anomalies independent of stated reasoning; Gate 3 (MRM-CFS-SG) uses the DECEPTION-1 classifier within its 828-segment ensemble; and Gate 4 (HES1-SG) validates with deception-specific micro-models. Block time is under 10 milliseconds.
The company's ability to detect deceptive AI reasoning is protected by a 55-patent hub-and-spoke portfolio covering the mathematical foundation, governance architecture, and domain-specific applications of pre-execution AI governance. 21 patents have been filed with confirmed USPTO application numbers.
VectorCertain is offering a free Tier A External Exposure Report that discovers an organization's externally observable attack surface, including exposed non-human identities (NHIs), leaked credentials, and MITRE ATT&CK coverage gaps. The average enterprise has 250,000 NHIs, with 97% over-privileged, according to a 2026 Protego report.
For more information, visit vectorcertain.com.
