As organizations increasingly adopt AI technologies, the security and privacy risks surrounding development, deployment, and integration are growing in complexity. This session explores how to mitigate these risks using leading frameworks and standards such as ISO 42001, the NIST AI Risk Management Framework, and OWASP Top 10 for LLMs. Attendees will also learn how to operationalize AI security through the creation of an AI SecOps practice and an AI Management System.

In this session you will:

• Identify key security and privacy risks in the AI lifecycle—from development to end-user interaction and supply chain integration
• Learn how to apply frameworks like ISO 42001, NIST AI RMF, and OWASP Top 10 for LLMs to reduce AI-related threats
• Explore how to implement AI SecOps and AI Management Systems to maintain secure and responsible AI practices across your organization