At the center of this transformation is Vijayalakshmi Duraisamy, a seasoned data strategist whose recent work in multi-system encryption and reconciliation automation is being hailed as a significant advancement in preventing data leakage in finance ecosystems.
“In banking, data leakage is not just a quality issue—it’s a trust issue,” remarked Vijayalakshmi Duraisamy in a recent expert roundtable. “Our goal was to ensure that even if data traveled across systems, it remained unintelligible without a controlled decryption logic. The innovation wasn’t just in encryption—but in how encryption was applied across disparate systems and synchronized downstream.”
As per internal project notes, Vijayalakshmi Duraisamy was tasked with securing customer account data and financial contract data across two distinct systems. Traditionally, these systems operated with separate encryption protocols, often resulting in data mismatches and extended reconciliation timelines. The breakthrough came when her team implemented a common encryption logic and a matching key framework that allowed encrypted data to be aligned—without compromising security or requiring major system overhauls.
“We had to rethink how two different systems could talk to each other securely,” she explained. “System 1 could handle 18-digit encryption keys, while System 2 was limited to 16. Instead of delaying the project to extend digit capacity, we created a conversion logic with a local staging layer—allowing seamless matching with virtually no additional development effort.”
The implementation, which reportedly impacted applications handling over $80 billion in monthly financial materiality, led to a range of perceptible business outcomes. Among the most notable was a significant reduction in data mismatches, which dropped to just 1%. This improvement played a crucial role in easing the burden on reconciliation processes, streamlining what was previously a time-consuming and error-prone task.
In parallel, the organization realized considerable operational cost savings by automating the decryption process. This not only reduced the number of manual hours required for reconciliation but also improved turnaround time for financial reporting and downstream consumption.
Another major efficiency gain was observed in debugging and issue resolution, which benefited from strategic technical decisions—particularly the use of surrogate key generation and layered encryption applied at the source level. These choices allowed for quicker identification and resolution of data inconsistencies, further improving the reliability of the financial data flow.
Importantly, contract-level data was encrypted at the source, ensuring security from the earliest point in the data lifecycle. By preventing exposure in downstream systems, this approach strengthened data governance and compliance readiness. As per internal feedback, this security-first design received high praise from both clients and compliance auditors, who commended the proactive approach to data protection in a high-stakes financial environment.
Additionally, Ms. Duraisamy’s encryption strategy secured contract-level data early in the data flow, minimizing exposure in downstream systems—a move that reportedly earned high praise from both clients and compliance auditors.
Ms. Duraisamy’s contribution extended beyond code. She was involved in defining key architectural decisions, such as the number of digits in encryption, prefix/suffix structuring, and surrogate key logic for systems that retained encrypted data downstream. Her subject matter expertise (SME) status also involved guiding cross-functional stakeholders through encryption strategy design and validation.
According to internal stakeholders, the success of the approach has prompted further adoption across enterprise applications, especially in systems with mixed data formats and high-volume financial flows.
“It’s a classic case of innovation born out of constraint,” an internal tech lead commented. “Rather than pushing for platform changes, Ms. Vijayalakshmi designed around the constraint—turning a limitation into a more secure, two-layered encryption process.”
From her vantage point as a domain expert, Ms. Duraisamy believes the future of data protection in BFSI lies in context-aware encryption methods—ranging from data masking and substitution to surrogate key layering and multifactor decryption mechanisms.
“It’s no longer enough to encrypt data—we must think about how it’s decrypted, by whom, under what conditions, and where it resides,” she observed. “Modern encryption strategy is as much about governance and architecture as it is about algorithms.”
She adds that multi-factor authentication, layered security, and policy-driven access controls are becoming standard expectations in regulated financial environments, where data privacy is non-negotiable.
While Ms. Duraisamy has not yet published academic work on the topic, she confirms that a technical paper based on this encryption approach is in development and may be presented at an upcoming conference in India. The paper is expected to outline reconciliation-aware encryption strategies for enterprise data environments and could become a valuable reference for data architects across industries.As per the reports from peers in the data governance space, projects like this signal a broader shift: from traditional encryption toward smart encryption, where synchronization, compatibility, and auditability are integrated into the design itself.
In a sector where even minor data mishandling can have outsized financial and reputational impact, experts like Vijayalakshmi Duraisamy are quietly redefining how encryption strategies support security without sacrificing speed, scalability, or user trust.
