Protect Sensitive Data and Support DPDP Compliance in India
India's Digital Personal Data Protection Act (DPDPA) introduces new requirements for protecting personal data, reducing unnecessary data exposure, and enforcing stronger governance controls.
As organisations prepare for the new data privacy law in India, development, testing, analytics, and AI environments remain a significant source of compliance risk.
Perforce Delphix helps enterprises automate AI-powered sensitive data discovery, masking, synthetic data generation, and governance across non-production environments so teams can innovate faster while supporting DPDPA compliance initiatives.
Why organisations choose Delphix:
- Automatically mask sensitive personal data across non-production environments.
- Support DPDPA compliance in India with centralised governance and auditability.
- Deliver compliant test data in hours instead of weeks.
- Reduce storage and infrastructure costs through data virtualisation.
The Perforce Delphix Approach to Data Masking
Reduce Compliance Risk Without Slowing Innovation
Protect Personal Data Across Non-Production Environments
Sensitive data often spreads across development, testing, analytics, and AI environments, increasing compliance risk under DPDPA. Delphix uses AI-powered sensitive data discovery and automated masking policies across non-production environments, helping organisations reduce exposure while maintaining the realistic data needed for testing, development, and innovation.
Benefits:
- Automated discovery of sensitive personal data.
- Consistent masking policies across environments.
- Production-like test data without exposing personal information.
- Reduced risk of non-production data exposure.
Support DPDPA Compliance with Data Minimisation and Governance
DPDPA requires organisations to implement appropriate safeguards and minimise unnecessary exposure of personal data. Delphix replaces production datasets with masked, virtualised copies that preserve data usability while reducing risk. Centralised governance, auditability, and reporting capabilities provide greater visibility into how sensitive data is protected across the enterprise.
Benefits
- Minimise use of live production data in test environments.
- Centralised policy management and governance.
- Auditability and reporting for compliance programmes.
- Reduced storage requirements through virtualisation.
Deliver Compliant Data in Hours, Not Weeks
Manual masking processes can slow development and digital transformation initiatives. Delphix integrates automated masking and compliant data delivery into DevOps workflows, enabling teams to provision secure, production-quality data on demand. This helps organisations accelerate software delivery while maintaining strong data protection and governance standards.
Benefits
- Deliver compliant data in hours instead of weeks.
- Integrate with existing development workflows.
- Enable self-service access to governed data.
- Improve development velocity while reducing risk.
How Delphix Helps Address Key DPDPA Requirements
| DPDPA Requirement | How Delphix Helps |
|---|---|
| Security Safeguards | Automated masking and protection of sensitive personal data in non-production environments. |
| Access Controls | Centralised visibility, governance, and auditing of masking policies across non-production environments. |
| Data Minimisation | Virtualised copies help reduce unnecessary use of production data. |
| Compliance Reporting | Enterprise-wide policy management and auditability. |
| Significant Data Fiduciary Obligations | Centralised masking policies, auditability, and compliance reporting across the enterprise. |
Trusted by Global Enterprises
See How Delphix Can Support Your DPDP Compliance Strategy
As organisations adapt to DPDPA compliance requirements in India, protecting sensitive data in non-production environments has become a business-critical priority.
See how Delphix helps organisations strengthen DPDPA compliance programmes, reduce risk, and deliver compliant data faster across development, testing, analytics, and AI initiatives.