What happens when artificial intelligence starts making healthcare decisions faster than humans can review them? Dr. Ali Dehghantanha’s Professor and Canadian Research Chair in Cybersecurity and Threat Intelligence, takes us on a fascinating journey through the evolving landscape of healthcare cybersecurity where self-healing AI systems may soon become our frontline defenders.

The cybersecurity battlefield shifts constantly. From database security to cloud protection to today's AI systems, Dr. Dehghantanha explains why "the only thing constant in cybersecurity is change." This rapid evolution creates unique challenges for healthcare organizations trying to protect patient data while embracing transformative technologies. As healthcare increasingly relies on AI for clinical decision support, the cybersecurity stakes have never been higher.

Dr. Dehghantanha’s groundbreaking research focuses on self-healing AI systems that automatically detect and repair vulnerabilities without human intervention. This capability becomes critical in healthcare environments where AI analyzes clinical data and makes treatment recommendations at speeds beyond human oversight capabilities. The self-healing component provides essential guardrails against potentially harmful decisions that exceed the system's design parameters.

Cultural and socioeconomic factors significantly influence AI adoption in healthcare. Less-regulated regions and underserved communities often embrace AI healthcare solutions more readily when traditional medical resources are scarce. This accelerates adoption but raises critical questions about verification and potential exploitation by adversaries. As patients increasingly trust AI-generated medical advice, these systems become prime targets for sophisticated cyberattacks that could manipulate clinical recommendations.

Join us for this thought-provoking conversation about the delicate balance between AI innovation and security in healthcare. Dr. Ali challenges us to consider not just how we implement AI, but how we protect these systems when they become responsible for life-or-death decisions. The future of healthcare cybersecurity lies at this intersection of human expertise, artificial intelligence, and robust security frameworks.

Dan Dodson and cybersecurity expert T.J. Ramsey discussed the escalation of ransomware attacks in healthcare, emphasizing that ransomware is a form of extortion malware used primarily for financial gain, with attackers operating like organized crime syndicates. Ramsey traced his journey from military intelligence to cybersecurity, explained the operational and financial pressures making healthcare a vulnerable target, and described the typical sequence and negotiation process of a ransomware attack—from initial triage and threat actor communications to the challenges in paying ransoms. Throughout, both stressed patient safety, expectation management, and the emotional toll on executives during crises.

Dr. Jeff Tulley, a board-certified physician and co-director of the UCSD Center for Healthcare Cybersecurity, discusses the intersection of healthcare and cybersecurity. He highlights the benefits of digitization in healthcare, such as clinical decision support and interoperability, but also acknowledges the increased attack surface. Tulley's research focuses on the impact of technology failures on patient outcomes, particularly during ransomware attacks. He emphasizes the need for resilience in clinical settings and the importance of evidence-based cybersecurity practices. Tulley also discusses the challenges of phishing training effectiveness and the potential of AI in both clinical and cybersecurity contexts.

Our center website: https://cyberhealth.ucsd.edu/

Our October Academic Symposium registration page: https://cyberhealth.ucsd.edu/events/2025-academic-symposium/index.html