Fraud teams have more data than ever, but connecting activity across users, devices, networks, and physical locations still requires significant manual analysis. In this session, Radar CEO Nick Patrick shows how AI and location intelligence work together to uncover the coordinated fraud activity that individual signals can miss.
In the recording, you’ll learn:
- How AI-native tools can surface fraud patterns [like…] across location, device, and network data
- How natural-language investigation reveals connections across seemingly unrelated users, accounts, and devices
- How to reduce manual analysis and move from investigation to action with more confidence
Nick also gave a first look at Radar’s new MCP server and integrations with ChatGPT and Claude. With Radar connected, fraud teams can investigate suspicious activity in natural language: review a user’s location history alongside device and network signals, understand why a location check failed, look for shared devices, networks, and places across accounts, and export findings for review.
Radar customers can contact their Radar team to enable MCP access, and setup instructions are in our MCP documentation. New to Radar? Book a demo to see it in action.
