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Industry

PrismSek for Healthcare

PHI protected across clinical, research, and administrative systems, and the AI tools now touching all three.

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What is driving the pressure

  • PHI spreads from EHR exports into spreadsheets, messages, and research datasets
  • Clinical staff adopt AI scribes and chatbots with no BAA in place
  • Research collaborations move patient data across institutional boundaries
  • Breach notification costs and penalties scale with every uncontrolled copy
Framework context
HIPAAHITECHGDPRIndia DPDPstate privacy laws

Where teams start

AI scribes without PHI leakage

Clinicians use documentation tools while prompt redaction strips identifiers from anything leaving the covered environment.

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Research data de-identification checks

Classification audits research extracts for residual identifiers before they leave the clinical boundary.

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Minimum-necessary access

DSPM maps which roles can actually reach PHI stores and drives access down to the minimum-necessary standard.

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31%
of PHI found outside designated clinical systems in first scans
100%
of AI scribe prompts classified before egress

The modules that matter most here

Data Classification

AI-native labels that read context, so a nine-digit number is a routing code in one file and a Social Security number in another.

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Data Discovery

Find sensitive data everywhere it lives, including the places nobody remembers creating.

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DSPM

A live map of where sensitive data is exposed, ranked by what would actually hurt.

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AI Security

Let your company use AI without your data training someone else's model.

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See PrismSek in a healthcare context.

Walk through policies and evidence flows mapped to your regulatory reality.

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