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 ...

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

Gas Town 1.0.0 orchestrates multi-stage development workflows, hardens agent security, and supports Windows for the first ...

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

In today’s rapidly evolving digital economy, businesses need more than just software—they need scalable, secure, and ...

From cost and performance specs to advanced capabilities and quirks, answers to these questions will help you determine the ...

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

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

Harness field CTO reveals 46% of AI-generated code contains vulnerabilities. Learn how to secure your SDLC with multi-layered ...

A now corrected issue let researchers circumvent Apple’s restrictions and force the on-device LLM to execute ...

A flaw in the EngageLab SDK exposed 50 million Android users, allowing malicious apps to exploit trusted permissions and ...