RBI and DPDP mandates require banks to secure customer data across the digital product lifecycle - making the use of production data in non-production environments a compliance responsibility. However, traditional masking approaches are expensive to implement and deliver no direct business value.
Instead of treating it as a cost burden, Mage Data makes it a driver of productivity and financial ROI — reducing storage by up to 90% and accelerating release cycles by 10x. Turn mandatory masking into operational agility and infrastructure savings.
Regulatory mandates like the RBI Master Direction on Information Technology Governance and Digital Payment Security Controls, RBI Cyber Resilience Framework and Digital Personal Data Protection (DPDP) Act all require that sensitive customer data be protected in non-production environments.
Most banks delay implementation. They copy production data directly to UAT, Test and Dev environments to save costs, creating massive PII leakage risks.
This delay is often driven by real-world practical challenges:
Simulated Data: Typical Indian Bank Profile
Traditional TDM (Test Data Management) creates a massive infrastructure footprint. Creating full physical copies of data, scrubbing them and storing them often triples infrastructure costs while delaying testing by weeks.
10TB Production DB × 5 Non-Production Env = 50TB Storage Bill. Masking adds CPU/IO overhead.
Refreshing a masked environment takes 2 weeks. Testers work with stale data.
Banks hesitate because traditional masking adds cost to an already expensive storage bill. They need a solution that reduces the total bar.
Stop moving petabytes of data. Mage Data virtualizes your database, creating lightweight, read-write clones that consume almost zero storage.
We ingest data once from Production and apply irreversible masking policies immediately to create a "Golden Image".
Developers get virtual clones in minutes. These clones point to the Golden Image blocks but record writes separately.
Masking maintains referential integrity. "John Doe" becomes "Jane Smith" consistently across all tables and databases.
Instant Return On Investment through infrastructure savings and operational agility.
+ 100% Compliance
Customer's Choice
"Data Masking"
Champion
"Test Data Management Market Update"
Leader
"Data Security Platforms"
Leader
"Data Masking Spark Matrix™"
Provision full read-write virtual databases in minutes, not days. Uses copy-on-write technology to consume less than 10% of physical storage space.
Efficient Storage
Automatically identify sensitive PII, PHI, and PCI data across all sources. Classify data types to drive policy-based masking rules.
Automated Classification
Apply irreversible, context-preserving masking during the virtualization process. Ensure compliance with DPDP and RBI mandates by design.
Secure-by-Default
Empower Dev and QA teams to self-service environments without waiting for DBA tickets or infrastructure delays.
Improved Productivity
Enforce least-privilege access, time-bound provisioning, and full audit logging of all data access and management activities.
Universal Policy Management
API-first architecture enables seamless integration with Jenkins, Azure DevOps, and other pipelines for automated data delivery.
Automated Delivery