This guide provides a structured framework for evaluating DevSecOps vendors in modern, AI-accelerated environments. It outlines key capabilities organizations should assess, including developer-first integration into IDEs, CI/CD pipelines, and workflows to ensure adoption without slowing productivity. It emphasizes the need for full-stack security coverage across code, open source, containers, and AI-generated components, along with verified AI-powered remediation. The guide also highlights enterprise scalability, ensuring tools can support large teams and maintain performance at scale. Governance and policy enforcement are presented as essential for maintaining control across distributed teams, while risk-based prioritization ensures focus on high-impact vulnerabilities. The key takeaway

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