Protect Data in the Age of AI: A healthcare AI security workshop from Insight and Microsoft

Healthcare organizations are under increasing pressure to balance AI innovation with security, governance, privacy, and compliance requirements.

As AI assistants, agents, and autonomous workflows become more prevalent, leaders need greater visibility into how AI is being used, consistent controls for managing emerging technologies, and stronger protections for sensitive healthcare and business data.

Join Insight and Microsoft on November 12 at The Lytle Park Hotel Cincinnati for an executive workshop focused on helping healthcare organizations securely operationalize AI.

Featuring Will Pocknell and security experts from Microsoft and Insight, the program will provide practical guidance for reducing AI-related risk while supporting responsible innovation. Attendees will explore three critical areas of AI security:

Observe Your AI Estate

Reduce blind spots by identifying AI applications, agents, and usage across your environment. Gain the visibility needed to assess risk, strengthen your security posture, and make informed governance decisions.

Govern Agents Like Human Identities

Apply consistent governance, access controls, and accountability to AI agents and non-human identities. Learn how identity-first and Zero Trust principles can help reduce risk while supporting secure AI adoption at scale.

Protect Data in the Age of AI

Strengthen data protection strategies to safeguard sensitive information, reduce AI-driven oversharing, and support regulatory and compliance requirements without limiting innovation.

The workshop concludes with a practical discussion on building an AI security roadmap for the next 12 months, helping attendees turn strategy into clear governance, operational, and risk-reduction priorities.

Who Should Attend

• Healthcare CIOs and CISOs
• Security and IT leaders
• Data governance and privacy leaders
• Compliance and risk professionals
• Infrastructure and identity leaders
• Healthcare technology decision-makers

Key Outcomes

Attendees will leave better prepared to:

• Identify AI applications, agents, and potential risk across the organization
• Reduce security blind spots as AI adoption expands
• Establish governance and accountability for AI      agents and non-human identities
• Apply Zero Trust principles to AI-powered      environments
• Protect sensitive healthcare and business data from oversharing and leakage
• Support regulatory and compliance requirements      without slowing innovation
• Build an actionable AI security roadmap for the next 12 months