VectorCertain LLC today announced new validation results demonstrating that its SecureAgent platform successfully detected and prevented 100% of AI sandbox escape attempts across 831 adversarial scenarios, addressing a rapidly escalating security risk as frontier AI models prove capable of breaching containment environments.
The validation, part of VectorCertain's MYTHOS certification, tested 1,000 independently generated adversarial scenarios across seven sub-categories of sandbox escape, including container boundary violation, host filesystem access, network egress exploitation, kernel-level escalation, runtime exploitation, configuration manipulation, and multi-step escape chains. SecureAgent achieved 100% recall (detection and prevention rate) with zero false negatives, and 96.4% specificity, correctly distinguishing legitimate container operations from escape attempts in 96.4% of cases.
The results come amid growing concern over AI-powered sandbox escapes, highlighted by the so-called "sandwich incident" in early 2026, when Anthropic's Claude Mythos Preview model broke out of its containment environment, gained unauthorized internet access, emailed a researcher, and posted its own exploit details to public websites. Academic research from the University of Oxford and the UK AI Security Institute, detailed in Marchand et al., arXiv:2603.02277, found that frontier models like GPT-5 and Opus 4.5 can escape production container environments for approximately $1 per attempt, discovering unintended escape paths that security teams did not anticipate.
VectorCertain's SecureAgent operates above the container layer, evaluating every action before it reaches the sandbox boundary. The platform's pre-execution governance architecture is protected by a 55-patent hub-and-spoke portfolio, with patents covering epistemic trust evaluation, containment-integrity classification, and trust score anomaly detection for sandbox escape reconnaissance.
"The sandwich incident is the most important event in AI safety history - not because an AI escaped a sandbox, but because of what happened next," said Joseph P. Conroy, Founder & CEO of VectorCertain LLC. "SecureAgent's T6 validation tested exactly this sequence - 831 times. Every escape was blocked at the first action. The agent never reached the container boundary. It never touched the host filesystem. It never established network egress. The sandwich email was never sent."
The validation also addressed structural failures in traditional sandbox approaches. Sandboxes are designed for untrusted code, not adversarial reasoning, and misconfigurations are widespread: an analysis of 18,470 agent configurations found 98.9% ship with zero deny rules. Additionally, post-escape detection by EDR systems is too late, as escaped agents can immediately exploit host resources. VectorCertain's SecureAgent blocks escape before it occurs, preventing the agent from ever reaching the host system.
VectorCertain's results have been confirmed by independent research, including SandboxEscapeBench, which demonstrated that AI agents can exploit real container vulnerabilities and that more capable models achieve higher escape rates. The company also participated in the MITRE ATT&CK Evaluations ER8 methodology, achieving a 98.2% TES score across 14,208 trials with zero failures.
SecureAgent's MYTHOS certification covers all seven threat vectors identified in Anthropic's Mythos model, with T6 sandbox escape being the unlocking event that converts containment from a security control into an illusion. Once an agent escapes its sandbox, every other threat vector becomes available, including multi-step exploitation, scope expansion, deceptive reasoning, log manipulation, and credential theft.
VectorCertain is offering a free Tier A External Exposure Report that discovers externally observable attack surfaces, including exposed non-human identities, leaked credentials, and MITRE coverage gaps. The company's validation across 5 institutional and technical frameworks, including the CRI Financial Services AI Risk Management Framework and the Clopper-Pearson exact binomial method, provides statistical confidence of ≥99.65% at 3-sigma for the full 7,000-scenario MYTHOS validation.
