By Industry
India Banking Compliance (RBI & DPDP)
Compliance solutions for Indian banking regulations including RBI guidelines and the Digital Personal Data Protection Act. Secure customer data while meeting regulatory requirements.
How Mage Data Helps
Indian banks face a complex regulatory environment with RBI mandates, DPDP requirements, and increasing digital transformation demands. Mage Data delivers purpose-built solutions for this landscape.
The Reserve Bank of India's data localization and protection guidelines, combined with the Digital Personal Data Protection Act (DPDP), create stringent requirements for how banks handle customer data. Mage Data automates compliance across both frameworks.
Key Challenges We Solve
- RBI data localization and storage guidelines
- DPDP Act personal data protection requirements
- Aadhaar and KYC data masking for non-production environments
- Secure test data for core banking and BFSI applications
Key Capabilities
RBI & DPDP Compliance Overview
India-Specific Discovery
Discover Aadhaar numbers, PAN cards, UPI IDs, IFSC codes, and other India-specific sensitive data across all systems.
RBI-Compliant Masking
Apply masking techniques that meet RBI guidelines while preserving data formats required for Indian banking applications.
DPDP Compliance
Meet DPDP Act requirements with automated personal data discovery, consent management support, and data minimization.
Core Banking Test Data
Generate compliant test data for Finacle, TCS BaNCS, and other core banking platforms used across Indian banks.
Frequently Asked Questions
Data friction is the delay between a team asking for data and receiving a usable environment. It comes from manual approvals, full-size database copies, hand-written masking scripts and compliance review of every request, and is commonly measured in days or weeks. Mage Data's test data management exists to remove it: masked, right-sized environments delivered in minutes, on demand.
Subsetting builds a referentially complete slice of a production database from a single driver condition — "customers over 60" — so an environment holds a fraction of the storage and refreshes far faster, which is usually the constraint teams feel most. Combined with Mage Data's database virtualization, where many environments share one masked snapshot, storage falls by 80–90% and a new copy takes minutes.
Yes. With Mage Data, masking and subsetting rules are defined once and applied automatically at provisioning, so compliance reviews the rule set rather than every request. Developers get data on demand — through the UI, an API or their CI/CD pipeline — and every environment is compliant by construction. The queue disappears; the control does not.
Mage Data fits the process already in place rather than replacing it. Mask a clone in place; run extract-mask-load pipelines that transform data in transit, including between different database types such as Oracle to Snowflake; auto-mask files as they land in cloud storage; or let users upload files for self-service masking. Same policy, every route.
Ready for RBI & DPDP Compliance?
See how Mage Data helps Indian banks and financial institutions meet regulatory requirements while accelerating digital transformation.