De-identify by default. Use public data safely—without exposure or overreach.
From public health to fraud prevention, Karlsgate helps government agencies connect data across silos without sharing PII.
Our privacy-enhancing pipelines align with the 1974 Privacy Act, support HIPAA and FERPA, and meet global standards for privacy-by-design. Supports a full suite of FIPS approved cryptography, including post-quantum options.
Share what's essential. Protect what's sensitive. All without centralized control.
Use Cases for Government Agencies
Public Health Monitoring
Track disease trends, monitor outbreaks, and inform health policies without exposing sensitive identity data.
Empower Healthcare Research
Enable HIEs and research institutions to access population data securely, supporting discovery without PHI exposure.
Fraud and Abuse Prevention
Detect fraud across systems and jurisdictions using privacy-preserving identifiers—without centralized data sharing.
Compliant Public-Private Data Collaboration
Work with academic, nonprofit, or private-sector partners on shared missionswithout compromising data privacy or control.
Cross-Agency Data Linking
Safely connect data from public health, housing, education, and justice programs to support coordinated services.
Policy Impact Evaluation
Assess program effectiveness using linked data across agencieswhile keeping sensitive information protected at the individual level.
Why Government Organizations Choose Karlsgate
Simplify Data Exchange
Automate normalization, formatting, and secure transfers, reducing manual work and accelerating collaboration.
Scale Secure Connectivity
Connect across departments, states, or sectors without sharing PII, centralizing systems, or risking compliance bottlenecks.
Collaborate Without Compromise
Support essential programs with individual-level insightswithout exposing PII.
Resource Center
Browse our latest articles
DOGE, Clean Rooms, and the Data Centralization Dilemma
Why Pooling Sensitive Data Isn't The Answer To Effective Collaboration
The TikTok Debate Put Data Control Back in the Spotlight
Why Modern Data Workflows Require a New Approach to Control
What the 23andMe Collapse Reveals About the Future of Data Protection
Rethinking What It Means To Protect Sensitive Data
