"Shadow AI is the unsanctioned use of artificial intelligence tools outside of an organization's governance framework. In the healthcare field, clinicians and staff are increasingly using unvetted AI tools to improve efficiency, from transcription to summarization. Most of this activity is well-intentioned. But when AI adoption outpaces governance, sensitive data can quietly leave organizational control. Blocking AI outright isn't realistic. The more effective approach is to make safe, governed AI easier to use than unsafe alternatives."
"Shadow AI may be the biggest data exfiltration risk we've ever faced because it doesn't look like an attack; it looks like productivity. When your organization's data enters an external AI platform, it's no longer under your control. Shadow AI doesn't just leak data; it donates it to someone else's model. Once uploaded, it cannot be retrieved or deleted. Beyond privacy risks, AI-generated content also introduces accuracy issues."
Shadow AI is the unsanctioned use of AI tools outside organizational governance, with clinicians using unvetted tools for transcription and summarization. When adoption outpaces governance, sensitive patient data can leave organizational control and become part of external models, irretrievable once uploaded. AI-generated content also poses accuracy risks because large language models can hallucinate convincing but incorrect information that may enter patient records, coding, or treatment decisions. Blocking AI is impractical; restricting access often drives use to personal devices. Safe alternatives embedded in HIPAA-compliant systems, combined with visibility, policy, and education, enable productive, governed AI adoption.
Read at Securitymagazine
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