BFSI · India

Leading bank modernizes data security with masking.

Enterprise-wide discovery and masking anonymizes PII across non-production environments.

// Client overview

A leading bank that manages huge volumes of customer, transactional and financial data across multiple enterprise applications. The institution operated a complex IT ecosystem encompassing legacy banking systems, customer engagement platforms and heterogeneous databases. As digital transformation accelerated, large volumes of production data were copied into non-production environments for development, testing and analytics - creating exposure of Personally Identifiable Information (PII), confidential financial records and customer-sensitive information in the absence of production-grade controls.

Many banks continue to depend on legacy systems that support critical day-to-day operations - transaction processing, customer data management, account servicing and regulatory compliance. Although these systems have delivered reliability and stability over the years, they often become hidden barriers to innovation, agility and operational efficiency. This bank faced multiple operational, regulatory and security challenges related to sensitive-data management across its estate.

Sector

BFSI

Region

India

Engagement

Cyber transformation

Services

Data security & data masking · Sensitive data discovery & classification · Data governance & compliance · Audit & regulatory reporting

Technologies

Mage Data Masking · Static data masking · Sensitive-data discovery & classification tooling

// Key challenges

Exposure of sensitive data in non-production environments - leading to unauthorized access to customer credentials and confidential financial information, insider-threat concerns and data leakage during testing activities.

Lack of visibility into sensitive data such as PII and confidential financial information spread across CRM systems, loan-processing platforms and payment gateways.

Regulatory and compliance pressures the bank must meet while maintaining operational agility.

Operational complexity, where traditional manual approaches to masking data were error-prone, inconsistent, time-consuming and difficult to scale.

Increase the protection of sensitive customer and financial data across production and non-production environments.

Strengthen compliance with banking regulations and privacy mandates through effective masking and discovery.

Implement advanced data masking to anonymize PII while maintaining data usability for business operations and application testing.

Reduce the risk of data leakage in testing and development environments, improving overall security posture.

Establish centralized governance, monitoring and audit-ready reporting to support regulatory assessments and compliance audits.

Automate sensitive-data discovery and masking workflows to improve operational efficiency, scalability and consistency across environments.

Build a future-ready data-security foundation aligned with the bank's ongoing digital-transformation initiatives.

// The solution · highlights

Reviewed the bank's existing security architecture and network, then designed and executed a comprehensive Data Security and Data Masking program customized to the bank's operational and regulatory requirements, delivered through a structured, phased approach.

Sensitive Data Discovery & Classification: a detailed discovery exercise identified and classified PII and financial records across enterprise systems, clearly mapping and classifying sensitive data across structured databases and applications and creating a centralized inventory of critical data assets.

Static Data Masking implementation: deployed Mage Data Masking to anonymize sensitive data in static, non-production environments while retaining usability for testing and development, ensuring real customer information was never exposed.

Customized masking policies: designed masking policies aligned with banking security standards, regulatory mandates and operational workflows, keeping sensitive information protected while supporting business operations.

Governance & compliance integration: integrated masking and discovery processes into governance frameworks, enabling evidence-based compliance reporting, centralized monitoring and tracking, and simplified audit preparedness and regulatory reporting.

// Outcome & benefits

Enhanced data protection: the bank significantly strengthened protection of customer and financial data across both production and non-production environments, effectively anonymizing sensitive information while maintaining operational usability.

Regulatory compliance achievement: stronger alignment with data-privacy mandates through effective masking, sensitive-data discovery, evidence-based governance controls and automated reporting.

Reduced risk of data leakage: eliminating the use of real customer data in development environments significantly reduced insider-threat, unauthorized-access, data-misuse and accidental-exposure risks.

Improved audit readiness: automated governance workflows and reporting mechanisms let the bank demonstrate compliance and extract audit evidence quickly, improving transparency with regulators while streamlining audit readiness.

// By the numbers · ROI

Multiple banking applications secured.

Enterprise-wide sensitive-data discovery conducted.

Non-production environments protected.

Automated masking workflows established.

Governance reporting enabled.

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