Why Matching Scoring Isn’t Enough for Identity in Banking Identity is the heart of modern banking. Every compliance check, every AML investigation, every onboarding workflow ultimately depends on answering one…
Why Graph Centrality Measures Detect Fraud Faster Fraud hides in the connections between people, accounts, merchants, and devices. It spreads quietly until the losses add up. Traditional fraud detection tools…
Time-Aware Graphs: Solving Temporal Risk in AML The AML problem isn’t static, and your graph can’t be either. Money laundering doesn’t follow neat rows in a spreadsheet. It mutates over…
How Graph Databases Power AML/KYC in Banking Compliance is at a breaking point. Anti-Money Laundering (AML) and Know Your Customer (KYC) requirements have never been more demanding. Banks are expected…
Why Detecting Fraud Rings and Collusion Requires a Graph-First Approach Fraud today isn’t a single stolen card or a suspicious wire. It’s organized, adaptive, sprawling, and hard to spot. Networks…
How to Future-Proof KYC Against Regulatory Change Regulatory compliance has always been a moving target, but Know Your Customer (KYC) stands apart for how quickly the ground shifts beneath it. …
Using Graph Context to Secure Autonomous AI Agents As agentic AI systems move from labs to real-world deployment, the question is changing. It’s no longer just about what these agents…
Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems
Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.