Healthcare executives cannot adequately assess and mitigate cybersecurity risks when deploying AI systems

Healthcare organizations are rapidly adopting AI but lack clear frameworks to evaluate their cybersecurity readiness and identify vulnerabilities introduced by AI deployment. Executives struggle to balance AI innovation with regulatory compliance and data protection, and existing security assessments don't address AI-specific threats like model poisoning, adversarial attacks, and unauthorized data access. This gap leaves healthcare systems exposed to breaches that could compromise patient data and disrupt critical operations.