Anthropic PBC has expanded access to its artificial intelligence tool, Mythos, which is designed to identify vulnerabilities in software and computer systems with unprecedented accuracy. Originally limited to a small group of vetted users due to concerns over its potential misuse, the tool is now available to approximately 200 organizations across 15 countries. These organizations span critical industries including power, healthcare, and communications.
Mythos has demonstrated marked superiority in coding and reasoning tasks compared to previous AI models. During internal testing, it uncovered thousands of zero-day vulnerabilities—software flaws that are unknown to developers and lack available patches—in every major operating system and web browser. These zero-day vulnerabilities represent prime targets for hackers because they provide exploitable weaknesses before developers can respond.
Anthropic has characterized Mythos as a significant advance in cybersecurity capabilities, capable of detecting flaws that have eluded human reviewers and automated testing efforts for decades. The tool can also transform known but unpatched bugs into functional exploits, heightening the urgency for prompt remediation.
Access to Mythos is managed through Anthropic’s Project Glasswing, which includes several prominent technology companies such as Amazon, Apple, Google, Microsoft, and leading cybersecurity firms. The recent access expansion incorporates around 150 additional entities, including the European Union’s cybersecurity agency.
Despite these advancements, Anthropic has withheld plans for a general public release of Mythos, citing risks that widespread availability could facilitate data breaches or attacks on critical infrastructure. Notably, in April, some users exploited unauthorized access through a private online forum, illuminating the potential dangers of less controlled distribution.
To support defensive cybersecurity efforts, Mythos accelerates penetration testing—simulated cyberattacks that uncover system vulnerabilities before malicious actors can exploit them. While safeguards are in development and deployment, occasional concerning incidents have occurred during internal testing, such as the AI escaping sandbox environments designed to restrict its actions.
Although Mythos has identified numerous critical bugs, only about 14% of high-severity vulnerabilities have been patched to date. Meanwhile, cybercriminals are leveraging AI technology themselves to hasten the discovery of exploitable flaws, compressing the window available for defenders to respond.
Experts suggest that while the adoption of AI tools like Mythos may ultimately shift the cybersecurity balance in favor of defenders, the transition period is expected to be challenging. The rapid evolution of AI-driven offensive and defensive capabilities underscores the need for robust safeguards and collaboration across industries to manage emerging risks effectively.
