The high stakes of healthcare cybersecurity in the Gen AI era

As AI-powered applications become integral to healthcare delivery, managing sensitive patient health information (PHI) has never been more critical. The rise of interconnected systems, including medical devices and software, presents significant cybersecurity risks, making healthcare an increasingly attractive target for malicious actors. Recent incidents highlight the severe consequences of cyberattacks on healthcare infrastructure, underscoring the urgent need for robust, responsive cybersecurity measures.

This perspective paper delves into the cybersecurity challenges in the age of Gen AI, offering insights into how organizations can safeguard critical systems and patient data. It emphasizes the need for a "security by design" approach and the importance of securing the software supply chain and the rapidly growing Internet of Medical Things (IoMT).

Explore key insights on:

• The evolving approach to cybersecurity in healthcare.
• The unique vulnerabilities posed by connected medical devices and the IoMT.
• Best practices for embedding security measures in AI and Gen AI systems.
• Strategies for ensuring data integrity, confidentiality, and resilience in the AI-driven healthcare landscape.