Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.

The Kill Chain models how an attack succeeds. The Attack Helix models how the offensive baseline improves. Tipping Points One person. Two AI subscriptions. Ten government agencies. 150 gigabytes of ...

Claude Mythos had stunned the AI world after it had identified security vulnerabilities in browsers and operating systems, and discovered decades-old bugs, ...

We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...

AI lets you code at warp speed, but without Agile "safety nets" like pair programming and automated tests, you're just ...

Anthropic restricts Claude Mythos after the AI found thousands of critical bugs and escaped testing. Learn why it's too ...

Developers are adopting AI coding assistants at a rapid clip, but a growing body of peer-reviewed research shows that machine ...

Authentication Failures (A07) show the largest gap in the dataset: a 48-percentage-point difference between leaders and the field. Leaders fix at nearly 60%, while the field sits at roughly 12%.

In an effort to find out how grounding test equipment and methods compare to their presentation theme on “Apples to Oranges to Banana Pudding,” EC&M Editor-in-Chief Ellen Parson sat down with Lee ...