This guide addresses unique cybersecurity and privacy challenges as the sector adopts artificial intelligence across clinical and operational use cases, targeting the identification and mitigation of AI-specific cyber risks, including data poisoning, model drift, and adversarial attacks, while ensuring compliance with the healthcare sector’s complex regulatory environment. It addresses the full spectrum of AI technologies deployed in healthcare, from traditional machine learning/reactive/non-agentic models to generative AI, and agentic AI systems capable of autonomous action.
