This template helps organizations evaluate vendors for securing AI-generated code. It outlines key capability areas: real-time scanning during code generation, validated AI-driven fixes, developer workflow integration, policy enforcement, and enterprise scalability. The checklist on page 3 visually compares vendors across features like IDE integration, MCP support, and fix validation. It emphasizes that security must operate in real time within developer workflows, not as a post-process. It also advises buyers to demand proof through demos and validated fixes rather than relying on claims. The key takeaway is that selecting the right GenAI security platform requires focusing on accuracy, integration, and scalability—not just detection capabilities.

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