Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks ...

Would you trust an AI agent to run unverified code on your system? For developers and AI practitioners, this question isn’t just hypothetical—it’s a critical challenge. The risks of executing ...

Millions are being made on writing secure code. Unless you are in the DoD, NSA, CIA or protecting ring zero, you are not writing secure code. Everyone wants to teach you how to write secure code. Well ...

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...

It sometimes feels like generative AI is taking over the world. No one can predict what the true economic and social impact of the technology will be—although it’s already emerging as a game changer ...

With technology progressing at an ever-increasing pace, developers are challenged more than ever to keep code secure and mitigate against the ever-increasing cyber security threats. But using examples ...

The concept of shift left, or integrating security earlier in the software development life cycle, is important for application security, but it can be difficult to achieve. Developers need to take on ...