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Buyer’s Guide: Aligning Application Security with Critical Capabilities

Generative AI, inconsistent coding standards and disconnected security tools are making application security harder to manage. Veracode's 2024 State of Software Security data found flaws in roughly 63% of applications' first-party code and 70% of third-party components, with third-party flaws taking 50% longer to fix and security debt affecting 71% of organizations. This buyer's guide uses the NIST Secure Software Development Framework as a blueprint, including the SP 800-218A profile that adds practices specific to generative AI and foundation models. For each of the framework's four practice groups, Prepare the Organization, Protect the Software, Produce Well-Secured Software and Respond to Vulnerabilities, it pairs the application security requirements with the capabilities that meet them, from IDE and CI/CD integration and developer training to open source library analysis, release integrity, dynamic testing, automated root cause analysis and AI-assisted remediation, giving teams a checklist for evaluating platforms across the whole SDLC.

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