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.

Looking forward, AI is not just going to change how we build products; it will also redefine who builds them and what the ...

Georgia Tech researchers recently presented their work at leading programming and systems conferences, focusing on static ...

Securing the cloud is undoubtedly complex, but it is not insurmountable. By focusing on visibility, access control, ...

Endor Labs, the fastest-growing company in application security, today launched its next-generation AI-native static application security testing (SAST) solution – the first product fully developed on ...

Moonshot AI’s new Kimi K2 Thinking model has quickly captured the industry’s attention. Many observers are focused on its ...

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

Make identity the control plane, move authorization to runtime, bind data access to purpose and prove value on synthetic data ...

The problem is that without Microsoft input, SAP systems will soon not deliver MS-level performance. But if an emergency only ...

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

Discover how to leverage vibe coding with a focus on security. Learn best practices for integrating AI-driven development with robust cybersecurity measures to protect your applications.The post Vibe ...