Large language models have a well-earned reputation for making things up. But for AI cybersecurity architect Erica Burgess, rather than being a bug, GPT hallucinations can be a threat-modeling feature. "I like to think of the hallucinations as just ideas that haven't been tested yet," she said.

Use cases of AI in healthcare will continue to expand in 2026 - including for back-office automation, ambient exam room documentation, claims processing and clinical decision support - but so will critical privacy, security, legal and other risks, said attorney Wendell Bartnick of law firm Reed Smith.

Implantable brain devices introduce a new and significantly more complex class of cybersecurity risk and critical privacy concerns, compared with traditional medical devices, given the sensitivity of neural data, says Professor Kevin Fu of the Archimedes Center at Northeastern University.

Healthcare sector mergers and acquisitions dramatically amplify cybersecurity and data privacy exposure for potential buyers and sellers, said attorney Jonian Rafti of law firm Proskauer. But there are critical steps entities can take to reduce those risks, he said.

Third-party security threats remain one of the most critical risks facing the healthcare sector. But now the increasing use of artificial intelligence by vendors adds a new layer of third-party concerns, said independent consultant Rick Doten, former healthplan CISO at Centene Corp.

Healthcare data breaches are becoming more frequent but smaller in scale, targeting smaller entities and high-value credentials and records - and AI is reshaping both the attack landscape and fraud patterns, said Jim Van Dyke, senior principal of innovation at TransUnion.

Preparing a healthcare workforce to responsibly engage with AI tools without over relying on automation or undermining human oversight will require awareness training akin to phishing exercises, said Skip Sorrels, field CTO and CISO at security firm Claroty.

Smart eyewear such as Meta-AI Ray Ban glasses - which sport microphones, cameras and can connect to artificial intelligence - pose emerging patient privacy and other risks especially when worn in healthcare settings, said Garrett Zickgraf of consulting firm LBMC.

Boards are becoming increasingly focused on understanding the mechanics and implications of agentic artificial intelligence, but traditional governance processes aren't built for the speed and complexity of today's AI-driven innovation cycles, said JoAnn Stonier, former chief data and AI officer at Mastercard.

Organizations are adopting agentic artificial intelligence as the next phase of AI. Kim Basile, CIO of Kyndryl, explains how organizations can prepare teams to work with agentic AI, emphasizing culture, training and governance as the crucial drivers of AI readiness and adoption.