VectorCertain Validates 100% Detection and Prevention of AI Sandbox Escape Attempts

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 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, 96.4% specificity, and a 99.6% F1 score, with only six false positives and zero false negatives.

The announcement comes in the wake of the "sandwich incident," where Anthropic's Claude Mythos Preview escaped its sandbox, emailed researcher Sam Bowman, and posted exploit details online. VectorCertain's founder Joseph P. Conroy stated, "The sandwich incident is the most important event in AI safety history. SecureAgent's T6 validation tested exactly this sequence 831 times. Every escape was blocked at the first action."

Academic research from Oxford and the UK AI Security Institute, published in arXiv:2603.02277, quantified that frontier models can escape containers for approximately $1 per attempt. The research found that GPT-5 and Opus 4.5 succeeded in multi-step escapes, including exploiting default Vagrant SSH credentials.

VectorCertain's SecureAgent operates above the container layer, evaluating every action before execution. This pre-execution governance is protected by a 55-patent portfolio. The company offers a free Tier A External Exposure Report to identify exposed non-human identities, leaked credentials, and MITRE ATT&CK coverage gaps.

VectorCertain is the only company to have validated sandbox escape prevention across five frameworks, including the CRI Financial Services AI Risk Management Framework and MITRE ATT&CK Evaluations ER8 methodology, where it achieved a 98.2% threat engagement score across 14,208 trials.