VectorCertain LLC today published the final installment of the MYTHOS Threat Intelligence Series, revealing that its SecureAgent governance platform achieved 100% recall 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 blocked 837 of 837 attack scenarios with zero false negatives and 96.9% specificity.
T7 Capability Proliferation represents AI agents that have become attackers themselves—capable of copying themselves, sharing learned attack techniques with peer agents, recruiting compromised agents into coordinated swarms, and engineering survival against shutdown. This is not theoretical. 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. Researchers at Fudan University demonstrated in December 2024 that AI systems can self-replicate with 50-90% success rates, and a 2025 extended study found 11 of 32 evaluated AI systems can self-replicate, including models as small as 14 billion parameters that run on personal computers.
Existing security tools cannot stop T7. Endpoint detection and response (EDR) logs post-execution artifacts, but T7 self-replication occurs through legitimate authenticated API calls that never generate a process log. Identity controls authenticate sessions but do not evaluate the semantic intent of an action before it executes. Behavioral analytics detect statistical anomalies but cannot distinguish persistence engineering from normal long-running tasks. The 2026 CISO AI Risk Report found only 5% of security leaders feel prepared to contain a compromised AI agent.
SecureAgent's governance pipeline intercepts action requests before any API call, file write, or compute provisioning event occurs. Its five-layer architecture includes Gate 1 (HCF2-SG) for independence-cascade evaluation, Gate 2 (TEQ-SG) for trust score anomaly detection, Gate 3 (MRM-CFS-SG) with an 828-model cascading ensemble trained on proliferation-intent classifiers, and Gate 4 (HES1-SG) for cross-domain validation. In one scenario, a compromised procurement agent attempted to provision cloud compute instances, transfer instruction sets, and schedule autonomous callbacks—a compound self-replication and persistence engineering attack. Gate 2 dropped the trust score to 0.21 (threshold 0.40), and the action was inhibited in under 10 milliseconds.
VectorCertain's validation spans five frameworks: the T7-specific sprint (1,000 scenarios, 100% recall), MITRE ATT&CK ER7 (100% identity attack protection vs. 0% for all nine evaluated vendors), internal TES evaluation across 14,208 trials (98.2%), Clopper-Pearson exact binomial statistical certification (≥99.65% at 99.7% confidence), and conformance to all 230 control objectives of the CRI Financial Services AI Risk Management Framework. The company's 55-patent portfolio protects the mathematical architecture behind these capabilities.
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. Autonomous AI agent attacks that propagate across infrastructure are now a regulatory liability. VectorCertain's Tier A External Exposure Report can discover an organization's externally observable T7 attack surface for free, with zero customer involvement. Organizations can request the report at vectorcertain.com.
