Guide
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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