DATPROF for Public Sector
Accelerating Mission Success through Data Excellence
✓ Empowering Mission Outcomes: Facilitate quicker mission impacts by automating access to compliant data.
✓ Driving Digital Modernization: Accelerate digital modernization and seamless cloud adoption to achieve mission objectives efficiently.
✓ Ensuring Compliance with Data Protection Laws: Comply with stringent data protection laws and frameworks, including GDPR, CCPA, and NIST, safeguarding sensitive information.
✓ Supporting Zero Trust Architecture: Embrace a Zero Trust architecture with secure data delivery integrated into application development workflows.
Overcoming Application Modernization Challenges
Breaking Down Barriers for Transformation
Data Security in the Software Supply Chain
Address risks associated with error-prone processes and brittle scripts, reducing the likelihood of sensitive data exposure.
Delayed Adoption of Modern DevOps
Mitigate challenges arising from outdated ticketing systems and manual coordination, expediting transformation projects.
Synchronizing Complex Data Environments
Streamline integration testing and enhance application release velocity by synchronizing diverse on-prem and cloud-based data sources.
How DATPROF Transforms
Test Data Management
Release Mission-Critical Applications Faster
- Enhance developer productivity by eliminating manual steps and streamlining processes for data delivery and compliance.
- Automate the provisioning of secure virtual databases, eliminating legacy data wait states and delivering large datasets in minutes.
- Shift left with production-quality data, accelerating the developer feedback loop and improving software quality.
Protecting Sensitive Data
- Automatically discover sensitive information, such as names and email addresses.
- Implement masking to replace sensitive data with fictitious information while preserving referential integrity.
- Irreversibly mask data to prevent unauthorized access, securing against internal or external threats.
- Monitor data access, tracking who has access to specific data and for how long.
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