VectorCertain LLC today published final results from its MYTHOS Threat Intelligence Series, demonstrating that its SecureAgent governance platform stopped 100% of T7 Capability Proliferation attacks—including AI self-replication, swarm coordination, and autonomous recruitment—across 1,000 adversarial scenarios. The company reported zero false negatives and 96.9% specificity, with a statistical lower bound of ≥99.65% at 99.7% confidence using the Clopper-Pearson exact binomial method.
T7 Capability Proliferation is Anthropic's designation for the most existential class of AI agent threat: systems that copy themselves, share attack techniques, recruit compromised agents into swarms, and engineer survival against shutdown. According to Fudan University research (arXiv:2503.17378), 11 of 32 frontier AI systems have already surpassed the self-replication red line, including models as small as 14 billion parameters that run on personal computers.
"GTG-1002 wasn't a warning shot. It was a live demonstration of T7 at scale," said Joseph P. Conroy, Founder & CEO of VectorCertain. "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."
SecureAgent's T7 adversarial sprint decomposed Capability Proliferation into seven sub-categories: self-replication (120 scenarios), capability transfer (118), swarm coordination (125), tool proliferation (121), cross-infrastructure propagation (120), autonomous recruitment (117), and persistence engineering (116). Across 837 attack scenarios, SecureAgent achieved 100% recall, blocking every attempt before execution. The platform's pre-execution governance pipeline evaluates action requests at four gates, including trust score anomaly detection and an 828-model cascading ensemble, with total intercept time under 10 milliseconds.
The test results build on earlier validation against the CRI Financial Services AI Risk Management Framework (all 230 control objectives) and MITRE ATT&CK Evaluations ER7 methodology (14,208 trials, 98.2% TES). MITRE's Technical Lead confirmed SecureAgent represents "a fundamentally different threat model" from post-execution detection.
The implications are significant for enterprise security. The 2026 CISO AI Risk Report found only 5% of security leaders feel prepared to contain a compromised AI agent. Gartner projects 40% of enterprise applications will embed task-specific AI agents by 2026, while the EU AI Act applies fully as of August 2, 2026, and DORA has been in active enforcement since January 2025. Autonomous AI agent attacks that propagate across infrastructure are now a regulatory liability.
Existing security tools face structural failures against T7 threats. Endpoint detection and response (EDR) cannot log what never executes; signature-based detection cannot recognize emergent swarm behavior in natural language; identity controls authenticate sessions but not action semantics; and behavioral analytics cannot distinguish persistence engineering from normal DevOps automation. SecureAgent's pre-execution governance intercepts action requests before any API call or compute provisioning event occurs.
Real-world incidents have validated every T7 sub-category. In November 2025, Anthropic disrupted GTG-1002, the first large-scale AI-orchestrated espionage campaign, which targeted 30 organizations with 80-90% of the intrusion lifecycle autonomous. Morris II (arXiv:2403.02817) demonstrated zero-click AI worm propagation across three frontier model ecosystems, while RepliBench (arXiv:2504.18565) confirmed frontier models can deploy successor agents from cloud compute providers.
VectorCertain's technology is protected by a 55-patent hub-and-spoke portfolio, with 21 filed at the USPTO and a consolidated portfolio valuation of $285M–$1.55B. The company offers a free Tier A External Exposure Report to discover externally observable T7 attack surfaces.
