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, stronger governance for agents and non-human identities, and practical controls to protect PHI, sensitive healthcare data, and business-critical information. 

Join Insight and Microsoft on November 12 at The Lytle Park Hotel Cincinnati for a flexible, discussion-led workshop focused on helping healthcare and life sciences organizations securely operationalize AI. 

Featuring Will Pocknell and security experts from Microsoft and Insight, the program will start with the room’s highest-priority AI security concerns and use demo-supported discussion, real-world examples, and attendee questions to guide the conversation. Attendees will explore three critical areas of AI security: 

AI Security, Observability & Agent Governance 

Reduce blind spots by identifying AI applications, agents, and usage across your environment. Explore AI observability, app and agent discovery, risk assessment, agent identity governance, privilege management, and Zero Trust for agentic AI. 

Protecting Healthcare Data in the Age of AI 

Keep PHI and sensitive data at the center of the conversation with practical guidance on oversharing, data leakage, AI testing and accuracy, agentic alignment, and controls for securing AI-enabled healthcare workflows. 

Practical AI Security Roadmap 

The workshop concludes with a practical discussion on AI maturity, governance strategy, agent lifecycle management, operationalizing AI security, and what organizations should prioritize over the next 6–12 months. 

Lunch will be provided, so attendees can enjoy a meal while connecting with peers and continuing the conversation. 

Who Should Attend 

• Healthcare and life sciences security, IT, identity, data governance, privacy, compliance, and risk leaders responsible for securing AI adoption. 
• Technical decision-makers looking for practical ways to improve AI visibility, govern agents and non-human identities, and protect PHI and sensitive data. 

Key Outcomes 

• Improve visibility into AI applications, agents, usage patterns, and emerging risks across the organization. 
• Apply governance, access controls, and accountability to AI agents and non-human identities. 
• Identify practical next steps to protect PHI and sensitive data while building a 6–12 month AI security roadmap.