How to use AI and location to make faster risk decisions
Fraud teams have more data and signals than ever, but uncovering the connections between users, devices, networks, and physical locations can still require significant manual analysis. AI is changing that by making it easier to investigate complex data, surface patterns, and turn location intelligence into actionable fraud decisions.
Join Radar CEO, Nick Patrick for a practical look at how AI and location intelligence can work together to uncover coordinated activity that individual signals may miss. See how teams can investigate suspicious behavior, identify connections across accounts and devices, and understand what’s driving fraud risk.
We’ll also give you a first look at Radar’s newest AI-native capabilities, built to help teams query and analyze location, device, and network data, uncover insights faster, and move from investigation to action with greater confidence.
What you’ll learn:
Be the first to see what’s next for AI-powered fraud investigations with new capabilities from Radar
How agents can help uncover fraud patterns across location, device, and network data
How natural-language investigation saves time while revealing connections across seemingly unrelated users, accounts, and devices
How to reduce manual analysis and create actional fraud decisions from location intelligence
Speakers
Nick Patrick is the Co-Founder and CEO of Radar, the location intelligence platform built to help teams fight fraud, optimize operations, and engage customers at scale. Gaming operators, financial institutions, and on-demand platforms use Radar's SDKs and APIs to verify where users really are and catch location spoofing, account takeovers, and promo abuse.
Kyler Day is a senior fraud operations leader at Radar, working closely with customers to detect and combat their most sophisticated fraud while helping shape Radar’s solutions to address emerging threats. Previously, Kyler led fraud operations at Fanatics and worked as a KYC Analyst at Deutsche Bank.