By Industry
Banking, Financial Services & Insurance (BFSI)
In the Banking, Financial Services, and Insurance (BFSI) sector, protecting sensitive customer data while ensuring compliance with regulations like GDPR, PCI DSS, and RBI guidelines is critical. Mage Data empowers BFSI organizations with advanced Data Masking, Test Data Management, and Data Governance solutions, reducing risk by up to 90%. Our industry-leading platform ensures secure data access for analytics, testing, and cloud migrations—without compromising privacy or performance. Enhance security. Stay compliant. Unlock data-driven innovation with Mage Data.
How Mage Data Helps
Financial institutions face some of the strictest data protection requirements in the world. Mage Data delivers purpose-built solutions to protect customer data while keeping development and analytics teams productive.
Banks and financial institutions manage vast amounts of personally identifiable information (PII), account numbers, transaction records, and credit data. Mage Data discovers and classifies all sensitive data across databases, files, cloud platforms, and endpoints -- then applies enterprise-grade masking to protect it.
Key Challenges We Solve
- Multi-regulation compliance (PCI-DSS, GDPR, SOX, RBI, DPDP)
- Secure test data provisioning for application development
- Real-time database activity monitoring and threat detection
- Data protection across legacy core banking and modern cloud platforms
- GenAI data protection for AI-powered banking applications
Key Capabilities
BFSI Overview
Prebuilt BFSI configurations
Leverage industry-specific templates and rulesets designed for banking and financial services.
Cross-platform data consistency
Maintain referential integrity across diverse core banking, mobile, and legacy platforms.
Secure UAT provisioning
Deliver safe, masked data to User Acceptance Testing environments without exposing actual customer details.
Fraud-safe test environments
Protect sensitive account information in testing to prevent internal fraud risks while preserving data utility.
Related Regulations
PCI-DSS
Protect cardholder data and meet Payment Card Industry requirements with automated discovery and masking.
GDPR
Comply with EU data protection regulations including right-to-erasure and data minimization requirements.
DPDP Act (India)
Meet India's Digital Personal Data Protection Act requirements with automated personal data discovery and protection.
PDPL (Saudi Arabia)
Meet Saudi Arabia's Personal Data Protection Law requirements for financial services operating in the Kingdom.
IRDAI (India)
Insurance regulatory compliance with comprehensive data protection for policyholder information.
CPRA (USA)
Protect Californian consumers' privacy rights and comply with state-level data protection mandates.
HIPAA (USA)
Safeguard Protected Health Information (PHI) and meet US healthcare data privacy and security standards.
PIPEDA (Canada)
Ensure compliance with Canadian federal privacy laws for the collection, use, and disclosure of personal information.
PDPA (Singapore)
Comply with Singapore's Personal Data Protection Act for governing the collection and use of personal data.
APPI (Japan)
Meet Japan's Protection of Personal Information requirements for handling sensitive data across borders.
DPA (Jamaica)
Align with Jamaica's Data Protection Act to secure personal data and ensure lawful processing.
DORA (EU)
Enhance digital operational resilience and security for financial entities under the EU DORA framework.
Frequently Asked Questions
Account and policy numbers, card data, national identifiers, contact details, income and transaction histories are all regulated data — and they stay in regulatory scope when production is copied into development, test or analytics. Mage Data finds and de-identifies them before any copy is released, so every non-production environment is born compliant.
Encryption scrambles data but is reversible with a key. Masking replaces values with realistic substitutes, irreversibly, so test and analytics systems never hold real data at all. Format-preserving encryption and tokenization sit between the two. Mage Data delivers all of them from one policy, matched to each purpose: perfectly useful for the job, entirely useless to anyone else.
Yes — if the masking preserves format and referential integrity. Mage Data maps the same input to the same output across every table, database and application, so joins, application logic and reporting behave exactly as they do against production. Testers and analysts get realistic data; nobody gets the real thing.
Production is usually the best-defended environment, with access controls, monitoring and audit. Copies made for development, testing, training and analytics carry the same real data with far fewer controls, are routinely shared with vendors and offshore teams, and outnumber production systems many times over. Mage Data closes that gap by making sure those copies never contain real data in the first place.
Mage Data helps financial institutions protect customer data across its lifecycle:
- Find and classify sensitive data wherever regulated information resides.
- Mask, subset, or virtualize data for testing and development so teams can work with realistic data without exposing customer information.
- Control and monitor access to production data when real data must be retained.
- Automate compliance processes such as retention, deletion, subject requests, and audit evidence.
Banks and insurers are among Mage Data's largest customer segments.
Secure Your Financial Data Today
See how Mage Data helps leading banks and financial institutions protect customer data while accelerating application delivery.