2026
Meet Us at Chicago RIMS' New Year Kick Off Party
Attacks are inevitable. The impact depends on how widely PII and PHI have been exposed.
GenAnonymize, InsOps' AI platform eliminates PII and PHI data exposure by applying non-reversible masking inside your environment, so exposed data cannot be re-identified even when a breach. Meet us at Chicago RIMS to learn more about the solution.
Why This Matters
PII and PHI exposure is at an all-time high
Real data is used in lower environments
The projected value of the global data market by 2033
Manual masking does not hold up
Large insurers experienced at least one publicly reported breach, which was higher than the overall breach rate for the S&P 500
Generic tools miss insurance context
The average cost of a data breach.

The Problem with Existing Solutions
Existing Data Privacy Solutions are Good but not Good Enough.
Masking protects only the original fields, leaving derived or copied data unprotected.
Masking protects only the original fields, leaving derived or copied data unprotected.
Pseudonymization can be reversed, allowing identities to be reconstructed if mappings are accessed.
Protection does not persist once data is copied or shared, creating exposure outside the original system.
The Solution
What You'll Get in this Live Demo
See How Insurers Protect PII and PHI and eliminate exposure
Identify Sensitive Data Automatically
PII and PHI are detected across policy, claims, billing, and partner datasets using insurance-specific intelligence, without relying on manual tagging or static rules.
Apply Privacy That Supports Compliance
Sensitive fields are masked in a way that supports regulatory expectations such as GDPR, GLBA, and HIPAA, helping reduce audit risk without introducing new tools or processes.
Protect Data at the Source
Data is protected where it is created and used, without exporting or copying sensitive information to external systems.
Keep Data Usable for Daily Work
Masked data retains structure and context, allowing teams to continue analytics, testing, reporting, and operational work without disruption.
Maintain Protection as Data Changes
As schemas evolve and new fields appear, protection adapts automatically, preventing gaps as data is copied, combined, or reused.
Track Protection as Data Evolves
Continuously monitors anonymization coverage and flags newly introduced sensitive fields as systems change.
FAQ
