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| 13 Apr 2026 | |
| Written by Gabi Gerber | |
| Attacks & Threats |
Anthropic's Mythos model promises major innovations in vulnerability management and security red-teaming, but questions remain regarding how defenders can keep threat actors from taking full advantage.
Anthropic on April 7 unveiled Claude Mythos Preview, a general-purpose large language model (LLM) that the company said in a blog post, "performs strongly across the board, but it is strikingly capable at computer security tasks." The AI firm said Mythos could identify and exploit zero-day vulnerabilities in "every major operating system and every major Web browser" at user direction, including subtle and difficult-to-detect ones. One exploit included a patched 27-year-old flaw in OpenBSD. More here
A study of more than 6,000 patches found that even working patches can introduce new bugs, break something else, or are open to bypass. More...
Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective. More...
A myriad of software makes up the typical AI harness, and trust issues between the components can create concerning atta… More...
Ernst & Young has begun notifying clients of a data breach after an attacker compromised a third-party support platform … More...
A cryptomining incident highlights how AI gateways can provide access to AI models, cloud infrastructure, and identity a… More...
A study of more than 6,000 patches found that even working patches can introduce new bugs, break something else, or are open to bypass. More...
Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective. More...
A myriad of software makes up the typical AI harness, and trust issues between the components can create concerning atta… More...
Ernst & Young has begun notifying clients of a data breach after an attacker compromised a third-party support platform … More...
A cryptomining incident highlights how AI gateways can provide access to AI models, cloud infrastructure, and identity a… More...