AI in Healthcare Cybersecurity: Balancing Innovation, Regulation and Risk
Course
Matt Cerny, Murad Dikeidek, Rick Doten, Neal Dennis, Lisa Bazis and Edward Higgins discuss emerging AI threats, agentic AI attacks, governance committee structures and defensive AI implementation.
The convergence of artificial intelligence and cybersecurity creates a complex threat landscape where sophisticated phishing campaigns, medical record manipulation and agentic AI systems capable of autonomous web application penetration testing target healthcare environments. These emerging threats coincide with a regulatory landscape that remains fragmented and underdeveloped, leaving organizations to navigate AI governance independently while attackers leverage advanced tools with minimal skill requirements. The challenge extends beyond external threats to internal AI adoption risks, where tools like Microsoft Copilot can inadvertently expose sensitive data or execute malicious prompts embedded in emails. Organizations must establish comprehensive AI governance frameworks that balance innovation with security while preparing for a future where AI fundamentally transforms business operations.
This expert panel discussion will cover:
- Emerging AI threat vectors including agentic AI attacks and medical data manipulation;
- AI governance committee structures and regulatory compliance strategies;
- Defensive AI implementation for vulnerability management and threat detection.
Here is the course outline:
AI in Healthcare Cybersecurity: Balancing Innovation, Regulation and Risk |