This whitepaper explains how organizations must evolve Security Champions programs to address the dual nature of AI as both a security enabler and a new attack surface. The early sections highlight how AI introduces risks like data poisoning, prompt injection, and model evasion while also enabling automation and improved threat detection. It emphasizes that traditional security approaches don’t scale for AI complexity, making embedded champions critical. The middle sections focus on AI-powered tools such as intelligent SAST/DAST, AI-assisted threat modeling, and predictive vulnerability management, enabling better prioritization and reduced false positives. The later sections outline integrating security across the AI lifecycle (data, training, testing, deployment, monitoring) and aligning

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