For most of the last few years, the “AI and cybersecurity” conversation has been a vibes argument. One side said the models would soon write novel exploits at scale. The other side said the models were still tripping over basic shell commands and could not be trusted to hack anything more dangerous than a CTF box. The honest answer was that nobody had hard numbers, so the debate stayed stuck on intuition. ...
TL;DR Claude Mythos is Anthropic’s most powerful model to date, scoring 93.9% on SWE-bench and 97.6% on USAMO 2026 - a 55-point leap over rival models It is not publicly available; Anthropic restricted access to 12 vetted companies through Project Glasswing, focused on defensive cybersecurity Mythos autonomously identified thousands of zero-day vulnerabilities, including a 27-year-old unpatched OpenBSD bug - making its offensive potential too dangerous to democratize This marks a shift away from open innovation toward controlled deployment, where the most capable AI may never be publicly released The Mythos story forces a rethink of how we evaluate AI: benchmark performance and public availability are no longer the same thing Anthropic built its most capable model to date, demonstrated it autonomously discovering thousands of zero-day vulnerabilities, and then declined to release it. That is the Mythos story, and it is worth sitting with rather than rushing past. The benchmarks are striking, but the decision not to publish is the more consequential part - it signals a real shift in how frontier AI labs are thinking about deployment. ...
Cyber attacks are becoming increasingly sophisticated, and DevOps teams must understand the landscape to build resilient systems. This guide covers the most common attack types and practical defense strategies. Social Engineering Attacks Phishing remains one of the most effective attack vectors. Attackers craft deceptive emails or messages to trick users into revealing sensitive information or clicking malicious links. The 2015 Ukraine power grid attack, for example, relied on phishing emails to harvest login credentials before the actual infrastructure attack. ...