Integrating AI Safely: The Enterprise Security Paradox is a panel discussion focused on the security challenges that arise when enterprises connect AI to proprietary data, SaaS platforms, and business workflows. The session examines three key areas of risk: ingestion, including the use of third-party foundation models and open-source data; execution, including autonomous tool access and downstream loops; and output, including governance, liability, hallucinations, and RAG-related risks in proprietary knowledge bases. Attendees will hear directly from industry leaders working through these challenges and explore practical approaches to securing AI systems without limiting innovation. The program is relevant for executives managing corporate risk, enterprise AI engineers, developers building advanced capabilities, and students interested in the future of secure AI infrastructure.

Registration: Required
Cost: Free
Format: Online