Attackers stole at least $36.7 million from protocols running unverified smart contracts over the past six months, ...

As attackers ramp up their AI exploit development, the search for software vulnerabilities is changing rapidly.

Attackers have reduced the time to develop an exploit for a known vulnerability from 125 days to a mere half a day, thanks to the use of AI-assisted development, leaving vulnerability scanners ...

Valuable tools for experienced attackers and researchers, LLMs are not yet capable of creating exploits at a prompt, researchers found in a test of 50 AI models — some of which are getting better ...

Large language models (LLMs) are proving to be valuable tools for discovering zero-days, bypassing detection, and writing exploit code, thereby lowering the barrier to entry for penetration testers — ...

Anthropic’s Claude Mythos Preview represents a seismic shift in the impact of AI on the cybersecurity landscape in the federal government. According to the AI company’s Claude Mythos Preview System ...

AI models like Anthropic's Claude Mythos are accelerating vulnerability discovery and exploit development, raising concerns ...

Somewhere in the world, a group of hackers fed an artificial intelligence tool a software flaw that no one knew existed. The AI did not just analyze the bug. According to Google, it built a working ...

For many years, security teams have used the same basic approach to assess vulnerability risk. They looked at two main factors: how much damage a vulnerability could cause, and how likely it was to be ...