Finance survived the quantum threat by preparing early. Mythos won't make it so easy (www.techradar.com)

Anthropic's release of the Claude Mythos model under Project Glasswing marks a significant advancement in AI, as it has already identified thousands of high-severity software vulnerabilities across major operating systems and browsers. This development raises alarms in the AI/ML community, highlighting the potential risks of frontier AI capabilities being employed maliciously. While cybersecurity teams previously mobilized against quantum threats and developed enduring encryption methods, the urgency now shifts to addressing AI-enabled risks that can rapidly identify and exploit vulnerabilities. The model's ability to expedite the discovery of software flaws demands a proactive approach from organizations. CIOs and CISOs are encouraged to integrate continuous, AI-assisted vulnerability management into their security protocols, adapting to the accelerated pace of machine-influenced threat landscapes. This change necessitates a new framework for assessing third-party risks tied to AI providers and maintaining robust red-team testing that simulates advanced adversaries. The lessons from past quantum concerns underscore the importance of collaboration and shared accountability among institutions as they fortify defenses against emerging AI threats, promoting resilience rather than competition in safeguarding critical digital infrastructure.