Secure Development

Secure development refers to software engineering practices that integrate security controls throughout the design, coding, and testing phases rather than addressing vulnerabilities after deployment. In enterprise AI governance, secure development is critical because AI systems handle sensitive data and influence business-critical decisions, making them attractive targets for attacks that could compromise data integrity or model reliability. Organizations implementing secure development for AI must establish code review processes, dependency management, threat modeling, and automated security testing to prevent the injection of malicious code or manipulation of training data that could degrade model performance or enable unauthorized access.

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