LLMs hit security plateau: Why AI code can't be trusted yet

- A CTO warns that AI code generation has hit a security plateau, meaning Large Language Models (LLMs) cannot yet guarantee the production of secure code.
- Because LLMs are now deeply embedded in how developers write and refactor software, there is an increased risk of deploying vulnerable code into production environments.
- The report emphasizes that organizations must treat all AI-generated outputs as untrusted and implement mandatory independent verification processes.
- This shift in approach is critical to prevent security breaches as AI becomes a foundational part of the modern software development lifecycle.
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