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As hospitals race to adopt AI, cybersecurity can't be an afterthought. At AIMed26, expert Dennis Chornenky warned that AI-related cyber incidents are growing 10x faster than regular ones, with threats ranging from deepfakes to "shadow AI" — employees using personal AI tools with sensitive organizational data. He urged hospitals to build integrated AI governance frameworks that treat security as a core pillar, not a compliance checkbox.
As artificial intelligence becomes embedded in healthcare operations, it's bringing a new wave of cybersecurity risks along with it. At the AIMed26 conference, Dennis Chornenky, founder and CEO of DomeLabs, made the case that cybersecurity must be treated as a core component of AI governance — not a siloed afterthought bolted on after the fact.
Chornenky outlined how AI is being weaponized by bad actors through phishing scams, deepfakes, malware, and autonomous attacks, while also being used defensively for threat detection and incident response. One under-the-radar risk he flagged: "shadow AI," where well-meaning employees feed sensitive organizational data into personal AI tools to boost productivity — creating major security vulnerabilities without any malicious intent.
By the Numbers:
Why it matters: With AI adoption accelerating across health systems, the governance gap between innovation and security is widening. Chornenky's message is clear — clinicians, administrators, and IT teams must work together to build transparent, secure AI frameworks before the vulnerabilities outpace the benefits.
