The Health Sector Coordinating Council’s Cybersecurity Working Group has released a guide to help healthcare organizations establish a cyber governance framework to securely implement artificial intelligence. This guide addresses the challenges of identifying and mitigating AI-specific cyber risks such as data poisoning, model drift, and adversarial attacks while ensuring compliance with current regulations. We also explore the range of AI technologies used in healthcare, including traditional machine learning models, generative AI, and agent AI systems capable of autonomous actions.
“With the development and deployment of various forms of AI in healthcare settings proliferating at an incredible speed and scale, this comprehensive guide is a must-read for all healthcare organizations, vendors, and suppliers,” said John Riggi, AHA National Advisor for Cybersecurity and Risk. “The secure-by-design and implementation recommendations provided in this guide will help reduce unintended cybersecurity risks and impacts from the use of AI in healthcare and prevent hostile exploitation of AI-related technical flaws. Mitigating AI cybersecurity risks is part of cyber safety, and cyber safety is patient safety.”
For more information about this or other cyber and risk issues, please contact Riggi at jriggi@aha.org. For the latest cyber and risk resources and threat intelligence, visit aha.org/cybersecurity.
