Process Consulting
Ensuring Compliance with RBI/NPCI Guidelines to Restrict Data within Geographical Territory
Get StartedData localization audit as per (RBI/2017-18/153, DPSS.CO.OD No.2785/06.08.005/2017-18) & NPCI Circular – System Audit Report (SAR) submissions on Data Localization (NPCI/UPI/OC-87/2020-21) is a process of reviewing and assessing the compliance of a company with the data localization requirements under applicable data protection laws.
Data localization refers to the requirement that personal data collected or processed within the country and region must be stored and processed within the same country and region.
Identify and exploit security weaknesses in your systems before attackers do with expert-led manual and automated testing.
Ensure your cloud infrastructure aligns with regulatory frameworks like ISO 27001, SOC 2, and CIS benchmarks.
Align your software development lifecycle with PCI Secure Software Standard to ensure secure design, coding, and maintenance practices that meet modern payment industry requirements.
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Contact UsA Data Localisation Audit is an organized assessment of your organisation's sensitive or monetary data within its own borders, as required by RBI and NPCI. Each step the organisation takes to stay compliant is critical because non-compliance can yield penalties and gravely impact your organisation's overall data governance.
An audit should be undertaken by any entity that uses customer financial data, performs payment transactions, and collects personal data, including banks, fintech, payment aggregators and UPI firms. This review must occur to meet regulatory requirements and build trust in the operations you perform with your stakeholders.
The audit will typically provide compliance review (per the RBI and NPCI requirements), data mapping (the flow of data and storage), risk assessment (for potential risks to your organisation), and recommendations for policies, controls, and employee training (to achieve compliance).
The audit provides a benefit beyond compliance - it can help the organisation improve data security, limit risks from data breaches, help build increased trust with regulators and customers, sharpen practices that can only improve data, and prepare for upcoming global regulations, such as the DPDPA and GDPR.