The Best Hacker Alive Is an AI. Anthropic Won't Let You Use It

2025-02-10 · Source: 💎DiamantAI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

Anthropic's AI, Mythos, demonstrated unprecedented hacking capabilities by autonomously discovering and exploiting long-standing software vulnerabilities. It found a 27-year-old flaw in OpenBSD, a 16-year-old bug in FFmpeg, and a critical vulnerability in FreeBSD, now tracked as CVE-2026-4747. Mythos also chained multiple Linux kernel bugs into complex attacks and successfully breached a simulated company network in 32 steps, a task typically requiring 20 hours for a human red team. Despite its power, Anthropic has restricted Mythos's public access, instead launching Project Glasswing. This initiative provides Mythos and \$100 million in credits to twelve major companies, including Apple, Google, Microsoft, Amazon, NVIDIA, JPMorgan Chase, and the Linux Foundation, to enhance their defensive capabilities. Anthropic anticipates that similar powerful AI tools will eventually become publicly available.

Key takeaway

For security engineers and teams managing critical software infrastructure, the emergence of AI like Mythos means the window between vulnerability disclosure and exploitation is rapidly closing. You must prioritize immediate patching of all known flaws, rigorously enforce least privilege access across all services, and enhance log monitoring to detect sophisticated, automated attack patterns. Procrastination on fundamental security hygiene now carries significantly elevated risk.

Key insights

AI like Mythos can autonomously discover and exploit complex, long-standing software vulnerabilities at scale, fundamentally shifting the cybersecurity landscape.

Principles

• AI scales hacking skill exponentially.
• Decades-old code harbors critical flaws.
• AI-powered tools are essential for defense.

Method

Mythos autonomously identified and exploited vulnerabilities in widely used software, including chaining multiple bugs for complex attacks and executing multi-step network breaches.

In practice

• Patch vulnerabilities immediately.
• Enforce least privilege access.
• Monitor system logs actively.

Topics

• Cybersecurity
• AI Hacking
• Vulnerability Discovery
• Red Teaming
• Software Security
• Anthropic Mythos
• Project Glasswing

Best for: CTO, VP of Engineering/Data, Investor, AI Security Engineer, Security Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by 💎DiamantAI.