The session provides actionable insights for organizations looking to implement robust security practices in their AI development practices while balancing innovation with risk mitigation. We explore integrating AI development and security lifecycles, offering a practical framework for risk management. We examine how secure development lifecycle (SDL) principles can be adapted for AI systems. The discussion covers distinct risk considerations from both AI model providers’ and consumers’ perspectives. We’ll analyze appropriate controls and risk mitigation strategies at different stages.