DPDP IMPLEMENTATION FRAMEWORK FOR RBI-REGULATED BANKS (Part 3)
- VENUGOPAL PARAMESWARA
- Nov 30
- 5 min read
Updated: 4 days ago

Unlike earlier regulatory mandates—which focused on security controls, transaction integrity, and customer protection—DPDP introduces privacy as an operational discipline, not just a compliance checkbox.
For RBI-regulated entities, Banks must unify their cybersecurity, data governance, legal, and operational ecosystems under a single privacy-first framework — while still meeting RBI’s IT, security, outsourcing, and digital payment mandates.
Frameworks are crucial for guaranteeing that programs are executed consistently and effectively. But Indian banks often default to checklist compliance and isolated projects instead of adopting a coherent framework (we have seen how organization adopted programs such as enterprise security architecture, Zero Trust etc) because of structural, cultural, and incentive issues around regulation, legacy tech, and accountability.
In my opinion there multiple reason for this:
Structural and Regulatory reason: Supervisory focus has historically been on demonstrable controls and audit evidence, not on architecture or design maturity, which pushes teams toward point solutions and paper frameworks. Newer expectations like Zero Trust, AI‑aware defence, and risk‑based supervision are only now being pushed strongly by RBI (2024–25), so many banks are still in “interpretation and firefighting” mode rather than in “framework-led transformation” mode.
Cultural and Organizational factors: Many banks still see cybersecurity as an IT cost center instead of a core enabler of operational resilience, even though RBI has explicitly reframed it as a systemic risk and strategic issue. Business units push for speed (UPI, BNPL, digital lending, super‑apps), and security is engaged late, which leads to tactical compensating controls instead of embedding patterns from a reference architecture or Zero Trust roadmap.
Limitations for CISO: CISOs are personally exposed to regulatory, reputational, and even employment risk (e.g., RBI actions on banks with IT deficiencies) while depending on other CXOs for execution across IT, Ops, and Business. Many CISOs are hesitant because they carry high personal risk with limited authority, budget, and board backing, so they optimize for “no findings” instead of “transformative change”. When frameworks are proposed, they are frequently perceived by other leaders as “theoretical” or “consulting slides”, so CISOs retreat to incremental, audit‑driven initiatives that are more defensible in board and regulator conversations.
However, organizations often overlook that without a framework, they may encounter several challenges.
Inconsistency: Different teams may handle data privacy in various ways, leading to gaps and vulnerabilities.
Confusion: Without clear guidelines, employees may be unsure about what is required of them, resulting in mistakes and potential breaches.
Increased Risk: The lack of a structured approach can lead to overlooked risks, making the organization more susceptible to data breaches and legal penalties.
Higher Costs: Without a framework, organizations may spend more time and money addressing issues reactively rather than proactively managing data privacy.
Interestingly, the framework approach offers clear guidelines and processes, which help teams understand their roles and responsibilities in data protection, thereby minimizing conflicts and power dynamics.
Hence regulators shall come with clearer regulatory articulation that DPDP must be implemented via integrated, risk‑based frameworks (not point controls), backed by supervisory assessments of architecture and operating model maturity. Also RBI should insist for a board‑approved, enterprise‑wide cyber and data protection strategies that tie frameworks directly to business resilience, customer trust, and DPDP penalty avoidance, forcing alignment of CIO, COO, business heads, DPOs and CISO around a single roadmap.
Suggested Framework for DPDP implementation

I believe that a successful DPDP implementation framework should include nine essential structural components, as shown in the picture above. Let's examine each one in detail:
Program Governance
Governance is where DPDP becomes real inside the bank. The success of DPDP relies on strong governance and alignment across the enterprise, encompassing legal, compliance, cybersecurity, data governance, operations, digital channels, and third-party ecosystems.. Program Governance is the foundation of DPDP implementation in any bank. It ensures that privacy is not treated as a one-time compliance project, but as a governance discipline integrated into every business, technology, and operational function.
Unlike traditional information security programs, DPDP requires banks to blend privacy, security, legal, operations, IT, risk, and third-party management into a single coordinated governance structure. This alignment is essential because personal data flows across dozens of systems (CBS, LOS, CRM, mobile banking, ATM switch, UPI, cloud workloads, fintech APIs), and no single department owns the entire lifecycle.

A strong governance program ensures accountability, clarity, and uniform adoption.

Operationalizing DPDP across the department is crucial to ensure it is embedded in organizational culture. For example in addition to usual data protection responsibilities, CISO responsibilities will be enhanced with the following:
Oversee data discovery, classification & minimisation
Ensure secure consent management architecture
Drive customer rights workflows (access/correct/erase)
Strengthen fintech & vendor DPDP compliance
Implement security safeguards (Zero Trust, DSPM, DLP)
Establish DPDP-aligned breach response playbook
Monitor KPIs & run continuous DPDP compliance
Deliver DPDP risk reporting to Board

As mentioned earlier, the CISO must lead customer rights workflows and ensure that adequate measures are taken to demonstrate compliance.
The infographic below illustrates the core responsibilities under the Digital Personal Data Protection (DPDP) framework for every bank function, from branch operations to fintech partnerships. By aligning consent management, data minimization, and secure handling practices across departments, financial institutions can ensure compliance while delivering a seamless customer experience. Explore how each function plays a pivotal role in building a privacy-first ecosystem.

Summary
The DPDP Act is far more than a regulatory checkbox—it is a structural reset in how banks must govern data, design systems, and operate securely in a digital-first environment. Without a unified, framework-driven approach, institutions risk fragmented controls, inconsistent practices, and increased exposure to regulatory penalties. A robust nine-layer implementation model ensures that privacy is embedded into governance, architecture, operations, and culture, enabling banks to move from reactive compliance to proactive resilience. Ultimately, DPDP maturity is not achieved through audits, but through alignment, accountability, and enterprise-wide ownership of customer trust.
If you’re leading DPDP implementation in your institution, I’d love to hear how you’re approaching the transformation. What challenges are you facing, and which layers of the framework resonate the most? Share your thoughts or reach out—I’m always open to learning from fellow practitioners and exchanging ideas on what truly works in the Indian BFSI ecosystem.
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Further Reading – DPDP Blog Series (In Case You Missed Them)
If you haven’t read the earlier parts of this series, here are the links to help you catch up:
🔹 Part 1 — DPDP Rules: What You Must Know
Your essential primer on the DPDP Act, how the Rules shape obligations for Data Fiduciaries, and what banks must prepare for the upcoming years.
🔹 Part 2 — DPDP for Banks: Why It Matters More Than Ever
A deep dive into why DPDP is transformative for Indian banks, why the Act elevates privacy to a strategic capability, and how it intersects with RBI’s cybersecurity expectations.
Together, these two articles set the foundation for understanding why DPDP demands a framework-led approach, and how banks can move beyond checklist compliance toward true operational privacy maturity.





well narrated