Solution Accelerator

Healthcare & Insurance

· Privacy & Compliance

PHI/PII Column-Level Masking

Reference workflows, reusable logic, and implementation guidance to discover sensitive columns, maintain a governed PHI/PII inventory, and automatically apply Unity Catalog column masks across a Databricks metastore.

Language

Python

Deployment

4–6 weeks

Type

Reference Code + Guide

Trusted By :

How it works

Discover, govern, and mask sensitive columns at scale

Healthcare, insurance, and other regulated data platforms often ingest data from many source systems. Each system may use different table structures and column naming conventions, making it difficult to manually track which columns contain PHI or PII.

DataTheta’s PHI/PII Column-Level Masking Accelerator helps teams scan Databricks catalogs, identify sensitive columns, maintain a central governance control table, and automatically apply Unity Catalog column masks without manual per-table ALTER TABLE work.

  • Discover columns whose names match configurable PHI and PII keyword patterns such as name, address, SSN, DOB, phone, email, Medicare ID, Medicaid ID, and NPI.
  • Maintain a central control table where data stewards can review flagged columns, correct false positives, and control whether masking should be applied.
  • Create reusable Unity Catalog masking functions for supported data types and restrict unmasked values to authorized users or groups.
  • Automatically apply masks to flagged columns in parallel, while safely skipping columns that are already masked.
AI systems in production
0 +
Avg. time to first outcome
0 Weeks
Forecast accuracy
0 %
Faster decision cycles
0 X
Revenue influenced by AI
$ 0 M+
Manual processing eliminated
0 %

40+

AI systems in production

8 Weeks

Avg. time to first outcome

34%

Forecast accuracy improvement

Faster decision cycles

$180M+

Revenue influenced by AI

68%

Manual processing eliminated

Key Capabilities

What this accelerator helps you do

Sensitive Column Discovery

Scan catalogs, schemas, tables, and columns to identify likely PHI and PII fields using configurable keyword patterns.

Central Governance Control Table

Store flagged columns in a reviewable control table so data stewards can validate classifications and toggle masking decisions.

Unity Catalog Masking Functions

Create a reusable library of SQL masking functions that reveal real values only to authorized groups and redact them for other users.

Automated Mask Application

Apply column masks automatically across flagged tables and columns without repetitive manual ALTER TABLE operations.

Safe Re-Runs and Review Workflow

Run the masking workflow repeatedly, skip already masked columns, and surface unsupported data types for review instead of silently ignoring them.

Solution Accelerators

Deliver compliance-ready data faster with DataTheta Solution Accelerators.

Explore reusable accelerators for healthcare data privacy, governance, data quality, AI readiness, analytics automation, and enterprise decision systems.

Ready to automate PHI/PII masking?

Use DataTheta’s PHI/PII Column-Level Masking Accelerator to discover sensitive columns, govern masking decisions, and protect regulated data across Databricks and Unity Catalog environments.

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