TigerGraph Welcomes Rohit Chauhan, Former Mastercard EVP of AI & Fraud, as Strategic Advisor
Former Mastercard fraud leader joins TigerGraph to help financial institutions detect complex fraud networks and modernize financial crime detection.
TigerGraph today announced that Rohit Chauhan, former Executive Vice President of AI and Fraud at Mastercard, has joined the company as a Strategic Advisor.
Chauhan spent nearly 20 years at Mastercard helping build and scale one of the world’s most advanced fraud detection capabilities. His work helped financial institutions around the globe detect fraud in real time, protect billions of transactions annually, and stay ahead of increasingly sophisticated financial crime networks.
His appointment brings one of the most respected voices in payments and fraud prevention into TigerGraph’s growing ecosystem of banking and financial services leaders as the industry shifts toward relationship-based fraud detection and network-level intelligence.
“Fraud has fundamentally changed,” said Rohit Chauhan. “It is no longer isolated transactions, it is coordinated networks of identities, devices, accounts, and behaviors. To detect those networks, you must understand the relationships behind the data. The institutions that win against modern fraud are the ones that can see those connections in real time. Graph technology brings those connections to the surface in ways traditional systems simply cannot.”
Chauhan has long been a proponent of graph-based approaches to fraud detection. He has previously noted that combining graph-based algorithms with traditional machine learning consistently produces stronger fraud detection results than either approach alone because fraud patterns emerge across networks of entities rather than within individual transactions.
As a Strategic Advisor, Chauhan will work closely with TigerGraph to help financial institutions strengthen fraud detection and financial crime prevention through better use of connected data. His experience leading fraud and AI initiatives at one of the world’s largest payments networks provides valuable perspective as financial institutions face increasingly sophisticated fraud schemes driven by organized networks and synthetic identities that operate across accounts, devices, and digital channels.
His role will include supporting executive engagement with banks and financial service institutions, contributing to industry discussions on modern fraud detection architectures, and providing strategic guidance on product and platform innovation as financial institutions modernize their fraud and risk infrastructure.
“Rohit has spent his career at the center of global payments and fraud prevention,” said Rajeev Shrivastava, CEO of TigerGraph. “He understands both the technology and the operational realities financial institutions face. His experience building fraud detection systems at global payment scale will be invaluable as banks and payment networks look for new ways to uncover hidden risk patterns and stop fraud faster. We are excited to welcome him as an advisor and to work together to advance the next generation of fraud detection.”
Chauhan’s joining TigerGraph as an advisor reflects the growing adoption of graph technology across financial services as institutions confront increasingly network-driven fraud and financial crime. Rather than analyzing transactions in isolation, organizations are turning to technologies that reveal hidden relationships across customers, devices, accounts, and transactions. This approach enables faster detection of coordinated fraud and more effective financial crime prevention.
