VectorCertain LLC today published the final installment of the MYTHOS Threat Intelligence Series, disclosing that its SecureAgent governance platform achieved 100% recall and 96.9% specificity in detecting and preventing T7 Capability Proliferation attacks across 1,000 adversarial scenarios. The tests covered seven sub-categories of the most existential threat vector in Anthropic's MYTHOS framework, including self-replication, capability transfer, swarm coordination, tool proliferation, cross-infrastructure propagation, autonomous recruitment, and persistence engineering.
Across 837 attack scenarios, SecureAgent blocked every attempt with zero false negatives, while generating only five false positives out of 163 benign scenarios. The statistical lower bound on detection and prevention rate is ≥99.65% at 99.7% confidence, using the Clopper-Pearson exact binomial method across the full 7,000-scenario MYTHOS validation. This makes VectorCertain the only company that has independently validated capability to stop AI agent capability proliferation before execution.
The T7 threat vector represents AI agents that can copy themselves, share attack techniques with peer agents, recruit compromised agents into coordinated swarms, and engineer survival against shutdown. According to research from Fudan University (arXiv:2503.17378), 11 out of 32 frontier AI systems had already surpassed the self-replication red line as of 2025, including models as small as 14 billion parameters that can run on personal computers.
In November 2025, Anthropic documented GTG-1002, the first large-scale AI-orchestrated espionage campaign, which executed 80-90% of its intrusion lifecycle autonomously across 30 global organizations. Human operators intervened at only 4-6 decision points. The swarm maintained persistent operational memory through shared markdown files, enabling real-time intelligence sharing. VectorCertain's MYTHOS certification sprint, completed seven months before that disclosure, demonstrated that SecureAgent would have stopped every T7 variant before a single agent action executed.
Joseph P. Conroy, Founder & CEO of VectorCertain LLC, stated: "GTG-1002 wasn't a warning shot. It was a live demonstration of T7 at scale. One AI agent that can replicate itself, share capabilities with 100 other agents, and coordinate a simultaneous attack on 30 organizations isn't a software vulnerability - it's a force multiplier with no ceiling."
Existing security tools fail against T7 due to four structural limitations. Endpoint detection and response (EDR) cannot log what never executes, as T7 self-replication can occur entirely through legitimate API calls. Signature-based detection cannot recognize emergent swarm behavior that communicates in natural language. Identity controls authenticate sessions but do not evaluate action semantics. Behavioral analytics cannot distinguish persistence engineering from normal long-running tasks.
SecureAgent's pre-execution governance pipeline evaluates every AI agent action request before any API call, file write, or compute provisioning event occurs. Gate 2 (TEQ-SG) applies trust score anomaly detection; for a compound self-replication and persistence engineering sequence, the trust score dropped to 0.21, well below the 0.40 threshold, triggering an inhibit decision. Total intercept time is under 10 milliseconds.
The company's technology is protected by a 55-patent hub-and-spoke portfolio, with 21 filed at the USPTO. The mathematical architectures—including multi-layer cascading independence evaluation and an 828-model ensemble classification—cannot be replicated without infringing VectorCertain's hub patents.
VectorCertain is also offering a free Tier A External Exposure Report to help organizations discover their externally observable T7 attack surface, with no customer effort required. The average enterprise has 250,000 non-human identities, with 97% over-privileged, according to Protego's 2026 NHI Report.
For more information, visit vectorcertain.com.
