As hospital-at-home programs expand and AI adoption accelerates, healthcare organizations face mounting cloud security demands. Anahi Santiago, CISO of ChristianaCare, discusses vendor accountability, identity management, clinical AI risks and the need for stronger cybersecurity foundations.

Healthcare organizations should prepare for post-quantum cryptography without overreacting to hype, said John Frushour, CISO of New York-Presbyterian Hospital. Stronger encryption standards, commercial software support and attention to medical devices can help providers manage emerging risks.

FDA's draft guidance for AI-enabled medical devices reflects a major change in how regulators address software that changes over time, recognizing AI's ability to evolve while emphasizing patient safety, transparency and accountability, said Phil Englert of the Health-ISAC.

As agentic AI expands the attack surface and accelerates cyberattacks, organizations must focus on containing breaches rather than preventing every intrusion, says Akamai's Mani Sundaram. He explores AI-powered segmentation, securing AI factories and the convergence of browser security.

Healthcare organizations face mounting pressure to govern AI without slowing innovation. Krista Arndt of St. Luke's University Health Network explains how agile governance, technical controls and collaboration can reduce data loss risks, protect patient care and strengthen AI security programs.

In the face of relentless cyberattacks that threaten patient safety, hospitals must strengthen their resilience, with clinical continuity, secure backups and coordinated recovery emerging as critical strategies, said John Riggi of the American Hospital Association and Josh Howell of Rubrik.

Artificial intelligence that is embedded in newer editions of software and other technology tools but is not explicitly revealed by vendors is a substantial risk on par with shadow AI, said regulatory attorney Elizabeth Hodge with the law firm Akerman LLP.

AI is accelerating cyberattacks faster than organizations can prioritize them, forcing security leaders to rethink how they define and defend against “emerging threats.” Most modern threats aren’t new, just amplified by AI, says Akamai's Brent Maynard.

AI is compressing cyberattack timelines from months to minutes. While segmentation has been a gold standard security practice for years, many organizations are still operating with outdated, static approaches.

Cancer research and treatment innovation - and the tech that powers that - requires a great deal of collaboration and data sharing among multiple parties. But keeping that sensitive information secure and private is crucial - and requires adherence to standards, said Baxter Lee of Clearwater.