Anthropic's AI model, Mythos, identified five potential vulnerabilities in the curl library, but only one low-severity issue was confirmed as a genuine flaw. This outcome underscores the model's impressive capabilities, as well as its limitations, in detecting actual security weaknesses. The Mythos model, touted as "dangerously good" by its creators, was restricted to a select group of major organizations to facilitate patching of critical flaws before public release. The single confirmed vulnerability highlights the complexity of accurately identifying and verifying security issues, even with advanced AI-powered tools. The use of Mythos demonstrates the potential for AI-driven vulnerability detection, but also emphasizes the need for human oversight and verification. This matters to security practitioners because it highlights the importance of carefully evaluating and validating AI-generated vulnerability reports to ensure effective vulnerability management1.