Security Scanning of AI/ML Models in the Software Development Life Cycle

Abstract

Artificial intelligence and machine learning (AI/ML) technologies are transforming the software industry, introducing new capabilities and efficiencies. However, the integration of AI/ML brings forth unique security challenges that must be addressed throughout the Software Development Life Cycle (SDLC). This white paper focuses on best practices and considerations for security scanning in each phase of the SDLC for AI/ML models, providing a roadmap for organizations to secure their AI/ML deployments effectively.