Anthropic · Open Source · Microsoft · OpenAI · Mythos · Fortune Technology
The company says its new model is so skilled at finding and exploiting software vulnerabilities that it’s too dangerous
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Anthropic is not the only AI lab producing models with these kinds of capabilities, or considering similar release strategies to try to ensure cyber defenders have access to these systems before hackers do.
Key facts
- For example, in 2016, a hacking group called the Shadow Brokers published a cache of hacking tools and exploits used against major software systems—including Microsoft Windows—that were widely
- But advanced AI models are collapsing both gaps at once, according to Emanuel Salmona, cofounder and CEO of Nagomi Security
- Despite these efforts, there’s also a growing “governance gap,” according to Hamza Chaudhry, AI and national security lead at the Future of Life Institute
- According to Spencer Whitman, chief product officer at AI security firm Gray Swan, the hard part of what researchers achieved with Mythos was autonomously finding the vulnerabilities within large
Summary
Anthropic’s new AI model, Mythos, is causing a stir among cybersecurity experts and policymakers. Some analysts have dismissed these cautious, limited releases as more about marketing and creating hype around new models, rather than purely safety-driven decisions. Researchers are concerned about both the scale and accessibility of AI‑enabled attacks. Tasks that once required advanced expertise—like scanning code for vulnerabilities or running attacks that require chaining multiple exploits together—are increasingly being automated or semiautomated by AI systems. What some researchers say is not clear, however, is how much the new models increase the chances of this kind of cyber-Armageddon.