How AI fraud detection is reshaping banking and financial services in India

How Mastercard uses AI to stop fraud before a payment is approved

Every second, millions of digital transactions take place across the world. Most are genuine. Hidden among them are fraudulent transactions that often appear no different from legitimate ones. The challenge for financial institutions is not processing payments quickly. It is identifying suspicious activity before money leaves an account.

Mastercard is using artificial intelligence to solve exactly that problem. Machine learning models analyse transaction patterns across its global payments network in real time, identifying unusual behaviour that could indicate fraud. Instead of relying solely on predefined rules, AI continuously learns from new transaction data, helping issuers and acquirers detect payment fraud faster while reducing false declines that inconvenience genuine customers. The decision happens in milliseconds, long before most people realise anything has been checked.

AI in financial services is moving beyond automation

Fraud detection is only one part of a much larger shift taking place across financial services. AI is steadily moving from supporting isolated business functions to becoming part of everyday decision-making across banks, payment companies and investment firms.

JPMorgan Chase is using AI to process complex documents, strengthen fraud detection and support investment research through IndexGPT. Morgan Stanley has deployed AI-powered systems that help financial advisors quickly access internal research and client information during conversations. PayPal uses machine learning to strengthen transaction risk scoring across its global payments platform, while Indian institutions such as HDFC  Bank and ICICI Bank are applying AI across customer service, credit assessment and fraud detection. Even investment platforms like Zerodha are using AI to provide analytics and algorithmic trading capabilities for retail investors.

Different institutions. Different use cases. The common objective is the same: making faster, more informed decisions while improving customer trust and operational efficiency.

Why AI products are becoming critical for banking and financial services

Financial institutions process enormous volumes of transactions, documents and customer interactions every day. Manual decision-making alone can no longer keep pace with the scale, speed and complexity of modern financial systems.

This is where AI products are creating measurable business value. AI-powered fraud detection helps prevent financial losses before they occur. Intelligent document processing reduces the time required to review contracts and compliance documents. AI-driven credit assessment enables faster lending decisions, while customer service platforms improve response times without compromising service quality. In wealth management, AI supports advisors by surfacing relevant insights that improve investment discussions instead of replacing human expertise.

Across financial services, AI is no longer being adopted because it is new. It is being adopted because it improves business outcomes.

AI Innovation in financial services is setting new industry benchmarks

As AI adoption accelerates, financial institutions are becoming more selective about the products they invest in. Novel technology alone is no longer enough. Banks, fintech companies and payment providers want AI products that integrate into existing systems, scale across operations and consistently deliver measurable impact while maintaining security, compliance and customer trust.

This evolution is driving a new generation of AI innovation across the financial ecosystem, where success is measured not by the sophistication of the technology, but by its ability to solve real business challenges.

Recognising India’s Most Innovative AI Products in financial services

This transformation is exactly what the AI in Financial Services and Fintech category at the ET Most Innovative AI Product Awards 2026 aims to celebrate. It recognises AI products that are helping banks, fintech companies, payment platforms and financial institutions improve decision-making, strengthen security, optimise operations and create better customer experiences through measurable innovation.

Financial services, however, represent just one part of India’s growing AI ecosystem. Across 16 award categories, the ET Most Innovative AI Product Awards 2026 celebrates enterprises, startups and SMEs building AI products across healthcare, manufacturing, cybersecurity, enterprise productivity, retail, legal, tax, supply chain and many other industries. Regardless of sector, the defining characteristic remains the same: AI products that solve meaningful challenges through innovation,scalability and measurable business impact.