Healthcare organizations are increasingly turning to artificial intelligence to manage rising patient demands, automate administrative tasks, and support clinical decisions. While these technologies allow clinicians to work faster and more efficiently, their rapid adoption expands the attack surface for cybercriminals targeting sensitive personal health data. Because care delivery is becoming deeply dependent on uninterrupted access to this data, cyber risk is now inseparable from patient safety.
This document outlines six critical security challenges: a lack of visibility into AI usage, understanding the risks of embedded AI features, maintaining the integrity of training data, defending against AI-specific threats, preventing accidental data exposure, and ensuring ethical governance. To address these issues, it details how Netskope uses a zero-trust framework and specialized tools to monitor AI activity and provide adaptive security controls. The goal is to help organizations embrace AI innovation without compromising clinical outcomes or regulatory compliance.
