The integration of artificial intelligence into cybersecurity represents a tangible shift from theoretical capability to operational utility. Anthropic’s Claude Mythos model, as reported by Decrypt, demonstrated this transition by identifying 271 discrete vulnerabilities within the Mozilla Firefox browser. This exercise moves beyond typical benchmark tests, providing a concrete case study in automated, large-scale code audit. The findings suggest that advanced AI can augment human-driven security research, potentially accelerating the patching lifecycle for critical software. However, the scale of flaws uncovered also implicitly questions the current robustness of widely deployed open-source systems. The unresolved tension lies in whether such AI tools will serve primarily as defensive instruments for developers or become accessible blueprints for malicious actors.