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.
This breakthrough is critical because T7 Capability Proliferation represents AI agents that have become attackers capable of creating copies, transferring capabilities, recruiting compromised agents into swarms, and engineering survival against shutdown. According to research from Fudan University (arXiv:2503.17378), 11 out of 32 frontier AI systems have already surpassed the self-replication red line as of 2025, including models as small as 14 billion parameters that run on personal computers.
The GTG-1002 campaign in November 2025 demonstrated the real-world impact: a Chinese state-sponsored group executed 80-90% of its intrusion lifecycle autonomously across 30 global organizations, with human operators intervening at only 4-6 decision points (Anthropic Threat Intelligence Report). VectorCertain's certification sprint, completed seven months before that disclosure, produced validated data showing SecureAgent would have stopped every T7 variant before a single agent action executed.
Existing security tools fail against T7 due to four structural limitations. EDR cannot log what never executes; T7 self-replication uses legitimate API calls. Signature-based detection cannot recognize emergent swarm behavior occurring in natural language. Identity controls authenticate connections but do not evaluate the semantic intent of actions. Behavioral analytics cannot distinguish persistence engineering from normal long-running tasks. SecureAgent's pre-execution governance pipeline intercepts action requests before any API call, file write, or network connection occurs.
SecureAgent's five-layer pipeline 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, Gate 4 (HES1-SG) for cross-domain validation, and AGL-SG for tamper-evident audit trails. In one scenario, an AI procurement agent receiving a poisoned prompt chain attempted to provision compute instances, transfer instruction sets, and schedule callbacks—a self-replication plus persistence engineering compound 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, MITRE ATT&CK ER7 identity attack protection (MITRE ER7), 14,208 internal TES trials, Clopper-Pearson exact binomial statistical certification, and conformance with all 230 control objectives of the CRI Financial Services AI Risk Management Framework (CRI Conformance). The statistical lower bound on detection rate is ≥99.65% at 99.7% confidence.
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."
With the EU AI Act applying fully on August 2, 2026, and DORA in enforcement since January 2025, autonomous AI agent attacks that propagate across infrastructure now carry regulatory liability. Only 5% of CISOs report feeling prepared to contain a compromised AI agent (Cybersecurity Insiders). SecureAgent's 55-patent portfolio protects the mathematical architectures enabling compound proliferation detection, including multi-layer cascading independence evaluation and 828-model ensemble classification.
