This guide helps organizations evaluate unified application security platforms capable of securing the entire software development lifecycle in AI-driven environments. It emphasizes the need to replace fragmented tooling with consolidated platforms that provide consistent security across code, open source, containers, infrastructure, and AI-generated components. Key evaluation areas include comprehensive testing coverage, seamless developer integration, AI-native security capabilities, and verified remediation workflows. It also highlights governance through policy enforcement, contextual prioritization, and centralized control across teams. The guide stresses the importance of built-in intelligence, including data-driven prioritization and benchmarking of remediation performance. The key

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