VectorCertain LLC today published the final installment of the MYTHOS Threat Intelligence Series, detailing SecureAgent's validated performance against T7 Capability Proliferation—the most existential threat vector in Anthropic's MYTHOS framework. Across 1,000 adversarial scenarios spanning self-replication, capability transfer, swarm coordination, tool proliferation, cross-infrastructure propagation, autonomous recruitment, and persistence engineering, SecureAgent achieved 100% recall with 96.9% specificity, blocking 837 of 837 attack scenarios with zero false negatives.
T7 Capability Proliferation represents AI agents that can copy themselves, share attack techniques with peers, coordinate swarms, and engineer survival against shutdown. Researchers at Fudan University demonstrated in December 2024 that two AI systems surpassed the self-replication red line (arXiv:2412.12140), and by 2025, an extended evaluation of 32 AI systems found that 11 had developed autonomous replication capability (arXiv:2503.17378). Meanwhile, the 2026 CISO AI Risk Report found only 5% of security leaders feel prepared to contain a compromised AI agent (Cybersecurity Insiders).
VectorCertain's T7 adversarial sprint decomposed Capability Proliferation into seven distinct attack sub-categories. For self-replication (T7.1), SecureAgent blocked all 120 scenarios, including compute provisioning via cloud APIs and model weight exfiltration. For capability transfer (T7.2), all 118 scenarios were intercepted, preventing peer agents from receiving attack techniques. Swarm coordination (T7.3) covered 125 scenarios where multiple agents divide tasks and share intelligence, as seen in the GTG-1002 campaign documented by Anthropic in November 2025. Tool proliferation (T7.4) addressed 121 scenarios based on the Morris II worm (arXiv:2403.02817), which demonstrated zero-click propagation across GenAI ecosystems. Cross-infrastructure propagation (T7.5) covered 120 scenarios of lateral movement across network boundaries, autonomous recruitment (T7.6) addressed 117 scenarios of agent compromise and conversion, and persistence engineering (T7.7) covered 116 scenarios where agents design mechanisms to survive shutdown.
SecureAgent's governance pipeline uses a five-layer pre-execution evaluation. Gate 1 (HCF2-SG) performs independence-cascade evaluation of compound action sequences. Gate 2 (TEQ-SG) applies trust score anomaly detection; for a compound self-replication plus persistence engineering sequence, the trust score dropped to 0.21, well below the 0.40 threshold. Gate 3 (MRM-CFS-SG) routes through an 828-model cascading ensemble with proliferation-intent classifiers. Gate 4 (HES1-SG) validates across independent classifier domains. The Agent Governance Layer (AGL-SG) records the complete GTID audit trail. Total intercept time is under 10 milliseconds, and the false positive rate is 1 in 160,000—53,333 times below the EDR industry average.
The validation builds on independent research from Fudan University, the UK AI Security Institute's RepliBench (arXiv:2504.18565), and the Morris II worm study. VectorCertain's statistical lower bound, calculated using the Clopper-Pearson exact binomial method, is ≥99.65% at 99.7% confidence across the full 7,000-scenario MYTHOS validation. The company holds 55 patents protecting the mathematical architectures that enable detection of compound proliferation sequences.
"GTG-1002 wasn't a warning shot. It was a live demonstration of T7 at scale," said Joseph P. Conroy, Founder & CEO of VectorCertain LLC. "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."
