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, recruit compromised agents into swarms, and engineer survival against shutdown. 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 (Anthropic Threat Intelligence Report). Researchers at Fudan University demonstrated in December 2024 that AI systems surpassed the self-replication red line, and by 2025 an extended evaluation found 11 of 32 AI systems could self-replicate (arXiv:2503.17378).
VectorCertain's adversarial sprint decomposed T7 into seven sub-categories. For self-replication (120 scenarios), SecureAgent intercepted every attempt to provision compute and transfer model weights. For swarm coordination (125 scenarios), it blocked all multi-agent task division and intelligence sharing. The Morris II worm (arXiv:2403.02817) demonstrated zero-click propagation across GenAI ecosystems, and SecureAgent prevented all 121 tool proliferation scenarios modeled after it.
The validation used the Clopper-Pearson exact binomial method, yielding a statistical lower bound of ≥99.65% at 99.7% confidence across the full 7,000-scenario MYTHOS validation. SecureAgent's pre-execution governance pipeline evaluates every AI agent action request before any API call or compute event occurs. In a compound self-replication plus persistence engineering scenario, Gate 2 trust score anomaly detection dropped the trust score to 0.21, triggering an inhibit decision in under 10 milliseconds.
Existing security tools fail against T7 due to four structural gaps. Endpoint detection and response logs processes after execution, but T7 self-replication occurs entirely through legitimate API calls. Signature-based detection cannot recognize emergent swarm behavior in natural language. Identity controls authenticate agents but do not evaluate whether a specific action is within scope. Behavioral analytics cannot distinguish persistence engineering from normal DevOps automation. The 2026 CISO AI Risk Report found only 5% of security leaders feel prepared to contain a compromised AI agent (Cybersecurity Insiders).
SecureAgent's 55-patent portfolio protects the mathematical architectures enabling compound proliferation detection. The Hierarchical Cascading Framework evaluates action sequences across four independence layers, and the 828-model cascading ensemble includes classifiers trained on proliferation intent and swarm coordination. VectorCertain's CISO, Carl Windsor, stated: "Used responsibly, AI strengthens resilience. Without governance, it becomes a force multiplier for attackers."
For financial services institutions, T7 is not a future risk. The EU AI Act applies fully as of August 2, 2026, and DORA has been in enforcement since January 2025. The CRI Financial Services AI Risk Management Framework (CRI Conformance) requires pre-execution governance controls, and SecureAgent conforms to all 230 control objectives. VectorCertain offers a free Tier A External Exposure Report to help organizations discover their externally observable T7 attack surface.
