This article examines whether emerging frameworks would address interconnected data and cyber risks cogently and what the next frontier of sectoral resilience policy must account for.
This article examines whether emerging frameworks would address interconnected data and cyber risks cogently and what the next frontier of sectoral resilience policy must account for.
The Draft Directions propose a Statement of Purpose (SoP) to guide the actions of Regulated Entities (RE) when responding to suspected mule activity.
The Reserve Bank of India has its task cut out. Real time information sharing has to be operationalised
India's financial inclusion numbers are often presented as a policy success story. The Reserve Bank of India's (RBI) Financial Inclusion Index increased from 64.2 in 2024 to 67 in 2025. Bank accounts, credit, digital payments, and insurance products have all scaled significantly over the past decade. By nearly every access metric that is traditionally tracked, the story looks like unambiguous progress.
This paper studies the changes in balance sheet composition across both extensive and intensive margins during this decade, allowing for heterogenous effects of year and regional banking sector development by household occupation type.
MSME segment is mammoth and has very distinct and crucial subcategories. Responding to this heterogeneity can spur momentum across the entire sector
Our comments to the Draft Guidance on Regulatory Expectations for Data Governance
This report presents a brief synopsis of the methodology and anonymised findings.
The study followed 293 women in rural Rajasthan over 6 months, documenting more than 135,000 financial transactions while introducing assisted access to a UPI-based mobile payments application through community-based women facilitators.
The Draft Guidance proposes broad regulatory expectations for model risk management across the model lifecycle. It intends to strengthen governance, oversight, risk management and controls of Regulated Entities (REs) using models (including AI / ML models). In this response we present our comments to the Draft Guidance, through six recommendations