Anthropic's Claude Mythos Can Hack Like a Pro Hacker, But Should It Be Released?
Anthropic has unveiled Claude Mythos, a powerful AI model that can locate and exploit critical software vulnerabilities with remarkable speed, prompting serious concerns from financial regulators, government officials, and cybersecurity experts worldwide. The company claims the tool outperforms humans at hacking and cybersecurity tasks, discovering thousands of high-severity bugs in major operating systems and web browsers. Rather than release it publicly, Anthropic has restricted access through a controlled initiative called Project Glasswing, which gives 12 major tech companies and over 40 organizations responsible for critical software the ability to test and defend against the model's capabilities .
What Makes Claude Mythos Different From Other AI Models?
Claude Mythos is part of Anthropic's broader Claude AI system, which competes directly with OpenAI's ChatGPT and Google's Gemini. The model was revealed in early April as "Mythos Preview" and represents a significant leap in AI capabilities focused on cybersecurity tasks. Researchers who test how AI models handle specific requests, known as "red-teamers," described Mythos as "strikingly capable at computer security tasks." The model can locate dormant bugs lurking in decades-old code and easily exploit them without much oversight .
One particularly striking finding involved a vulnerability that had existed undetected in a system for 27 years. Mythos identified it and suggested ways to exploit it, demonstrating capabilities that go well beyond what existing AI tools can accomplish. Anthropic claimed on April 7 that "Mythos Preview has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser" .
Why Are Global Finance Leaders So Concerned?
The release of Mythos has triggered alarm bells among financial regulators and central bankers worldwide. Canadian finance minister François-Philippe Champagne told the BBC that Mythos was discussed at an International Monetary Fund meeting in Washington, describing the technology as an "unknown unknown" serious enough to warrant attention from all finance ministers . Bank of England boss Andrew Bailey stated that regulators are examining "what this latest AI development could mean for the risk of cyber crime," signaling deep concern about potential threats to financial system security .
The European Union has also opened discussions with Anthropic about its concerns surrounding Mythos. These reactions reflect a broader anxiety that a tool capable of finding vulnerabilities so efficiently could be misused to attack poorly defended financial infrastructure, potentially causing widespread economic damage .
How Is Anthropic Managing the Risks?
Rather than making Mythos widely available to all Claude users, Anthropic created Project Glasswing as a controlled access initiative. The program aims to "secure the world's most critical software" by giving selected organizations the ability to test the model and strengthen their defenses against it. Partners in the program include major technology companies and infrastructure providers:
- Cloud Computing: Amazon Web Services, which provides infrastructure for countless businesses worldwide
- Device Manufacturers: Apple, Microsoft, and Google, whose operating systems and browsers are used by billions of people
- Chip Makers: Nvidia and Broadcom, which design processors used in critical systems
- Security Companies: Crowdstrike, the firm whose faulty software update caused a major global outage in July 2024
Anthropic has also given access to Mythos to more than 40 additional organizations responsible for critical software infrastructure. In a video released alongside Project Glasswing's launch, Anthropic CEO Dario Amodei said the company had offered to work with US government officials to "help defend against the risk of these models" .
Dario Amodei
Is the Hype Justified or Overblown?
Not all experts are convinced that Mythos lives up to the dramatic claims surrounding it. Many independent cybersecurity analysts and experts have not yet been able to test the model themselves, and some remain skeptical about its actual performance in real-world scenarios. The UK's AI Safety Institute, which recently evaluated Mythos, concluded that while it is a very powerful model, its biggest threat would be against poorly defended and vulnerable systems .
Importantly, the UK's AI Safety Institute researchers stated: "We cannot say for sure whether Mythos Preview would be able to attack well-defended systems." This suggests that organizations with strong cybersecurity practices may be largely protected from the model's capabilities . Ciaran Martin, former head of the UK's National Cyber Security Centre, noted that the claims about Mythos had "really shaken people," but he emphasized that most hackers do not need super AI tools to breach systems when simpler attacks often suffice .
"For some this is an apocalyptic event, for others it seems to be a lot of hype," said Ciaran Martin, former head of the UK's National Cyber Security Centre.
Ciaran Martin, Former Head of the UK's National Cyber Security Centre
The skepticism reflects a broader pattern in the AI industry, where new models and tools are often accompanied by promises to revolutionize society for better or worse. Capitalizing on this mix of fear and excitement has become a hallmark of AI marketing strategies in recent years. With Mythos, the challenge lies in distinguishing between justified concerns and industry hype .
What Should Organizations Do Right Now?
Rather than panic about Mythos, cybersecurity experts recommend focusing on fundamental defensive practices. According to the UK's National Cyber Security Centre, the most important thing organizations can do now is ensure they have strong basic cybersecurity in place. Martin emphasized that there is an opportunity to use these powerful AI tools to fix underlying vulnerabilities in the internet, potentially making the digital world safer overall .
The situation surrounding Claude Mythos illustrates a broader tension in AI development: the technology can be used for both defensive and offensive purposes. Anthropic's decision to restrict access while working with major organizations and governments suggests the company is taking a cautious approach to deployment. However, as AI capabilities continue to advance rapidly, regulators, businesses, and security experts will need to stay vigilant about how such powerful tools are developed, tested, and eventually deployed in the real world .