Financial Fraud Value Surges to Rs 48,021 Crore Despite Fewer Cases, Experian Report Reveals

GFF 2026: Fraud value jumps nearly to Rs 48,021 crore even as cases fall, says report

Financial fraud in India is shifting towards fewer, larger cases. The value of reported fraud rose significantly, indicating organised criminal activity. Fraudsters are increasingly using technology and artificial intelligence to evade detection. Lenders are adopting advanced analytics and alternative data for better fraud identification. India's financial fraud risk is shifting from a volume problem to one involving fewer but potentially larger cases, according to a new report by Experian. The company's The New Frontier: Emerging Trends in Fraud Prevention report, citing RBI's Annual Report 2025-26, said the value involved in reported or suspected fraud rose nearly fourfold from Rs 12,230 crore in FY24 to Rs 48,021 crore in FY26, even as the number of cases declined. The shift points to a growing role for organised fraud networks involving identity misuse, synthetic identities, mule accounts and false borrower information. Fraudsters are also increasingly using technology and AI, making it harder for lenders to detect suspicious activity. Credit cards continue to show the highest anomaly rates among major retail lending products, while personal, auto and business loans also show vulnerabilities. Misrepresentation of income, employment, identity and contact details remains a key concern. Experian said lenders are increasingly using application-level analytics, behavioural data and alternative data to identify fraud earlier. Its analysis found that these risk indicators can provide stronger signals of anomaly risk than traditional credit scores alone. Among organisations already using machine-learning-based fraud solutions, 58% reported a better ability to identify emerging fraud types, while 54% saw improved detection accuracy. Another 56% said passive fraud checks reduced friction for genuine customers. "Fraud prevention can no longer be viewed as a standalone control function. It must become an integral part of decision-making across the customer lifecycle," Manish Jain, country managing director, Experian India, said. The report said lenders will increasingly need data-led, continuous fraud monitoring as digital lending and online onboarding expand.

Experian Study: Sophisticated Networks Drive Shift in India's Fraud Landscape

Experian launched its latest fraud insights report, "The New Frontier: Emerging Trends in Fraud Prevention". The report offers insights into how fraud prevention is evolving alongside India's rapidly expanding digital financial ecosystem, where greater connectivity, faster onboarding and increasing digital adoption are creating both new opportunities and new risk dynamics. The findings reveal a growing shift from isolated instances of fraud to more organised and financially impactful networks, reinforcing the importance of data-driven, intelligence-led risk management approaches. The findings indicate that, while the volume of suspected fraud-linked applications has declined, the value associated with these cases has increased significantly over the last three years, pointing to an evolution in the nature of fraud risk across the financial services sector. Drawing on publicly available data from the Reserve Bank of India's Annual Report 2025-26, along with Experian's fraud prevention insights, the report highlights a shift in India's fraud risk landscape. While the number of reported or suspected cases declined over the period analysed, the amount involved rose sharply from Rs.12,230 crore in FY24 to Rs.48,021 crore in FY26. These trends suggest that financial institutions are increasingly required to assess not only the frequency of suspicious activity but also its potential impact. The report points to the growing role of organised and network-driven fraud patterns, including identity misuse, synthetic identities, mule accounts and misrepresentation of borrower information, driven by the increasing use of technology and artificial intelligence by fraudsters. These trends underline the need for lenders to strengthen fraud prevention across the customer lifecycle, from onboarding and application screening to ongoing monitoring. A key trend emerging from the report is the persistence of application anomalies across lending products and geographies. Credit cards continue to record the highest anomaly rates among major retail lending products, while personal loans, auto loans and business loans also showed varying levels of vulnerability. Misrepresentation of income, employment, identity and contact information continues to fuel organised financial crime. To address these evolving risks, the report highlights the growing importance of intelligence-led fraud prevention strategies that combine application-level analytics, behavioural intelligence and alternative data. Experian's analysis demonstrates that advanced application-level risk attributes provide stronger discrimination of anomaly risk than traditional credit scores alone, enabling earlier and more accurate detection of suspicious applications. Artificial Intelligence (AI) and Machine Learning (ML) are also playing an increasingly important role in strengthening fraud prevention. Among organisations already using ML-based fraud solutions, 58% reported an improved ability to identify emerging fraud types, 54% experienced higher fraud detection accuracy and 56% reduced friction for genuine customers through passive fraud checks, demonstrating the value of AI-driven decisioning in balancing security with customer experience. Commenting on the emerging fraud prevention trends, Manish Jain, Country Managing Director, of Experian in India, said, "India's financial ecosystem is becoming more digital, faster and increasingly connected, creating significant opportunities for consumers and lenders. At the same time, this transformation is changing the nature of fraud risk and reshaping how organisations approach trust, resilience and decision-making. Our findings show that fraud prevention can no longer be viewed as a standalone control function. It must become an integral part of decision-making across the customer lifecycle. The ability to identify genuine opportunities while detecting emerging risks early will be a critical differentiator in an increasingly digital market. Organisations that combine data, analytics and broader intelligence will be better positioned to protect customers, strengthen operational resilience and support sustainable growth." The report concludes that fraud prevention is becoming a strategic business capability for financial institutions. As digital lending and onboarding continue to expand, organisations will need adaptive, data-led and intelligence-driven approaches to protect customers, strengthen decision-making and build long-term resilience.