The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

Liav Caspi is CTO and Co-Founder of Legit Security. Tech leader, product strategist and entrepreneur with large cybersecurity experience. Software development is moving at a pace we've never seen ...

Beware the hidden costs of AI-generated code; human oversight is essential to prevent bugs and maintain software quality.

The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The bots created more logic and correctness errors (1.75x), more code quality and ...

Every CEO I meet thinks their AI strategy is simple: implement tools, boost productivity, and stay competitive. The reality ...

Software supply chain attacks are evolving as open source and AI-generated code introduce new third-party risks. Learn how visibility and shift-left security reduce exposure.

There are several best practice recommendations to help organizations mitigate the risks inherent in AI-generated code, and most highlight the importance of human-AI collaboration, with human ...

Citing issues with logic, correctness, and security, a new report recommends specific guardrails for AI-generated code.

Although capable of reducing trivial mistakes, AI coding copilots leave enterprises at risk of increased insecure coding patterns, exposed secrets, and cloud misconfigurations, research reveals. The ...

When AI systems started spitting out working code, many teams welcomed them as productivity boosters. Developers turned to AI to speed up routine tasks. Leaders celebrated productivity gains. But ...

CodeRabbit analyzed 470 GitHub pull requests and found AI-generated code introduces more defects than human-written code ...

The advantage AI brings to the table is that it "compresses feedback loops and allows engineers to focus on problem solving rather than mechanical tasks," Kumar said. "Treat it not as a replacement, ...