eScan DLP Prevents Patient Data Exposure to Public AI Platforms
As hospitals increasingly use generative AI for clinical documentation, medical research, discharge summaries and administrative workflows, controlling what patient data employees share with external AI platforms has become a critical security challenge. Patient names, medical records, diagnoses, lab results, clinical histories and other protected health information can potentially leave an organisation’s security boundaries when entered into public AI tools such as ChatGPT, Claude and Gemini.
A multi-hospital healthcare network addressed this challenge by deploying eScan Business DLP, enabling clinicians and staff to use approved AI platforms for legitimate business and clinical activities while automatically preventing the transmission of sensitive patient information. During the implementation, the solution blocked or prevented hundreds of attempted transfers of patient data to public AI platforms.
Controlling Data Before It Reaches AI Platforms
The eScan deployment uses an endpoint DLP agentto monitor and control the movement of sensitive data across clinical workstations and...
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