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18min chapter
AI Code Generation - Security Risks and Opportunities
AI CyberSecurity Podcast
Automating Security in AI-Driven Development
This chapter explores the urgent need for enhanced security measures in the context of AI-generated code, driven by an exponential increase in coding productivity. The discussion addresses the challenges faced by security teams due to the growing volume of code, advocating for automated testing frameworks and proactive security practices. It also critiques the evolving role of quality assurance, emphasizing the necessity of integrating robust testing strategies to ensure secure and reliable codebases.
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