Artificial intelligence is rapidly becoming part of how healthcare organizations, pharmaceutical companies, and research institutions move from data to decisions. AI helps identify patterns, inform diagnoses, prioritize research, guide experiments, and support operational choices. As its influence grows, cybersecurity is no longer simply an IT concern. It becomes a matter of patient safety, scientific integrity, privacy, intellectual property protection, and organizational trust.

While security teams are responsible for protecting systems, data, and infrastructure, they cannot determine whether an AI-generated recommendation is clinically sound, scientifically valid, or appropriate for the situation at hand. That responsibility belongs to clinicians, researchers, scientists, laboratory teams, and business leaders who understand the context and consequences of those decisions.

This session explores how AI is changing organizational risk, why trustworthiness matters as much as security, and why effective governance requires collaboration across technical and non-technical stakeholders. Attendees will leave with a practical framework for understanding shared responsibility and building security into AI-enabled workflows from the start, rather than attempting to add it after the fact.