AI-Aware Code Review Prevents Breaches

The article explains that traditional code review processes often miss subtle security vulnerabilities, especially as modern applications integrate complex dependencies and AI-generated code. By using AI-aware code review tools that understand security patterns, data flows, and attack techniques, development teams can catch issues earlier and reduce the risk of breaches. These tools analyze code in context, identify risky constructs, and provide guidance that goes beyond simple syntax checks. Integrating AI-driven security analysis into the development lifecycle helps teams improve overall code quality, prevent common coding mistakes that lead to vulnerabilities, and strengthen defenses before software is deployed. Continuous review, training, and automation are highlighted as best practices to make code reviews more effective and reduce the likelihood of security incidents. 

https://www.endorlabs.com/learn/ai-aware-code-review-breaches

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