Unlike dynamic analysis techniques, SAST operates without executing the program, focusing entirely on the static codebase.

In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.

As AI platforms grow more complex and interdependent, small failures can cast long shadows. That’s what happened inside the open-source CrewAI platform, where a vulnerability in its error-handling ...

Berkeley UCSF release open-source AI model Pillar-0 for medical imaging, validated on CT and MRI scans with superior accuracy to major competitors.

Google has identified early signs of malware that can rewrite its own code using AI, a mutation-driven threat that could ...

Once considered fairly immune to security threats, macOS in the past decade or so has become a major target for attackers. Still, it remains understudied by security researchers, and often defenders ...

Try Pyrefly Beta 0.42.0, now production-ready for IDE use with faster static analysis, auto import updates, and early Pydantic and Django support.

Instead of relying on an LLM’s guess, we can use tried-and-true, best-in-class Static Analysis Security Testing (SAST) tools. For example, a good engine is constantly updated, excels at Multi-Context ...

First ever external security audit of Bitcoin Core by Quarkslab, funded by Brink, shows no critical or severe security issues ...

A new malware campaign has been observed built on seven npm packages and using cloaking techniques and fake CAPTCHAs, ...

Qodo calls its secret sauce context engineering — a system-level approach to managing everything the model sees when making a decision. This includes the PR code diff, of course, but also prior ...