The Digital Personal Data Protection Act 2023 (DPDPA) has become a central topic in global technology and regulatory discussions. Organizations across sectors, especially Banking, Financial Services, and Insurance (BFSI)are actively discussing compliance strategies, frameworks, and implementation roadmaps.
While several consulting firms claim that the BFSI sector is progressing toward full compliance, a deeper analysis of real-world practices suggests otherwise. As the enforcement timeline approaches, implementation challenges, operational gaps, and accountability concerns are becoming increasingly evident. This document presents a practical use case highlighting systemic non-compliance with DPDPA 2023 principles in the BFSI ecosystem.
Regulatory Context – Accountability Under DPDPA 2023
Under DPDPA 2023:
However, in practice, processor accountability is often diluted, leading to compliance blind spots.
Use Case – BFSI Customer Journey and Data Privacy Violations
Scenario: Car Purchase with Loan and Insurance
A Data Principal (customer) purchases a car and opts for financing and insurance through a dealership.
Step-by-Step Data Flow and Compliance Gaps
1. Data Collection by Car Dealership
Compliance Gap:
2. Bank Acting as Parallel Data Fiduciary
Compliance Gap:
3. Physical Documentation and Fine Print Consent
Compliance Gap: Consent is:
4. Unauthorized Data Sharing for Cross-Marketing
Compliance Gap: Violation of:
5. Mass Data Upload to Outbound Dialers
Compliance Gap: No
6. Unsolicited Calls Without Disclosure
Compliance Gap Breach of:
Key Observations – Why This is Blunt Non-Compliance
This use case clearly demonstrates that:
Despite claims of readiness, ground-level practices reflect systemic violations of DPDPA 2023.
Strategic Risks for BFSI Sector
If these practices continue, BFSI organizations face:
Conclusion – Compliance vs Reality
The DPDPA 2023 framework places Data Principal dignity at the center of data governance. However, the current BFSI ecosystem reflects a significant disconnect between policy and execution. Claiming compliance without transforming data practices is a regulatory illusion.
Organizations must move beyond documentation and adopt:
Transparent data lifecycle management