Artificial intelligence is rapidly transforming healthcare by improving diagnostics, patient care, operational efficiency, and clinical decision-making. However, the adoption of AI also introduces new security risks involving sensitive patient information, data integrity, model manipulation, and expanding attack surfaces. This ebook provides healthcare security practitioners with practical guidance for implementing Zero Trust principles to secure AI initiatives. It explains how organizations can continuously verify users, devices, applications, and workloads while protecting healthcare data across hybrid environments. The guide discusses securing AI models, controlling data access, minimizing insider threats, and maintaining regulatory compliance. By combining Zero Trust strategies with mo

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