Publication Peer Review
DLP and DSPM inHealthcare: AI-EnhancedSecurity and Privacy
Open Until: 12/26/2025
Healthcare organizations face growing risks of data exposure as they adopt cloud platforms, AI tools, and connected technologies. Traditional data loss prevention (DLP) methods struggle to protect sensitive information across modern, distributed environments. This paper explores how AI-enhanced DLP and emerging data security posture management (DSPM) solutions can help healthcare leaders safeguard PHI, reduce leakage risk, and meet evolving privacy regulations. It offers practical strategies for building a proactive, AI-driven security and privacy posture in today's healthcare landscape.
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- Your name will be included as a reviewer only if you provide substantive feedback (e.g., content, clarity, accuracy). Feedback limited to grammar, syntax, or formatting will not qualify for acknowledgement.
- CSA's authors will have final descretion over which suggestions are incorporated into the document. Not all feedback will be implemented.
- You will not plagiarize or submit unmodified AI-generated text. If using AI-generated content, you must apply your expertise to refine, reformat, or integrate it meaningfully into the document.
Open Until: 12/26/2025