November 13, 2026
1 min read
Key takeaways:
- AI is being increasingly used for both defensive and attack measures.
- Shadow AI, the practice of inputting organizational information into personal AI uses, should be avoided.
ORLANDO — Cybersecurity has become a critical component of AI governance, according to a speaker at AIMed26.
Dennis Chornenky, founder and CEO of DomeLabs, discussed how the rapid evolution of AI is correlated to an increasing need for cybersecurity awareness and control.
“When AI governance is narrowly defined as a compliance checklist, cybersecurity and value realization remain siloed, creating critical gaps where the greatest risks often emerge,” Chornenky told Healio. “Today’s rapidly evolving AI landscape demands an integrated approach to governing, securing and continuously measuring the value of AI systems.”
According to Chornenky, AI is being used defensively to improve threat detection, for incident responses and investigative needs, among others. Conversely, AI is also being used for malicious attacks, including phishing scams, deepfakes, malware and AI-enabled autonomous attacks, he said.
As a result, AI-related cyberattacks have exponentially increased, Chornenky said.
“AI-related cyber incidents are growing at a rate of 10 times faster than regular cyber incidents,” he said.
Chornenky highlighted several risks that may impact individuals and hospitals as AI adoption increases at a rapid rate, including data leaks and model theft. He cited one particular risk to look out for: shadow AI.
“Shadow AI is … people using consumer or personal instances of AI and putting organizational information into those personal instances in order to try to make their work more efficient,” Chornenky said. “It’s not necessarily malicious intent, but it’s a huge security problem.”
Overall, Chornenky said AI cybersecurity is “a core component of AI governance and not a separate afterthought.”
Chornenky highlighted areas for hospital systems to keep track of and adopt AI, starting by developing an AI cybersecurity framework, AI use policies and ensuring transparency and exit options with AI vendors.
“Clinicians are essential partners in this shared responsibility, helping identify risks, evaluate real-world performance and ensure AI delivers meaningful improvements in patient care,” Chornenky told Healio.
Sources/Disclosures
Source:
Chornenky D. Why AI governance is not enough. Presented at: AIMed26; Nov. 11-13, 2026; Orlando.
Disclosures:
Chornenky reports being CEO of DomeLabs. Healio is an official media partner of the AIMed26 conference.
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