Radar Blog | Radar

Product

RF-1: an ML-based user and device risk model, built on the Location Intelligence Graph

David Gurevich

Software Engineer

RF-1: an ML-based user and device risk model, built on the Location Intelligence Graph

RF-1 is Radar's new user and device risk model. See what feeds the score, what the number means, how it shows up in your dashboard, and how it fits your fraud workflow.

Product

Detect coordinated fraud others miss with precise location and fraud hotspots

Kyler Day

Fraud Operations Lead

Detect coordinated fraud others miss with precise location and fraud hotspots

A fraud hotspot is a physical location where risk signals concentrate. See how Radar surfaces hotspots and how fraud teams investigate them and build them into rules.

Guides

Mapbox vs. Google Maps API: 2026 comparison (and better options)

Radar Team

Mapbox vs. Google Maps API: 2026 comparison (and better options)

Mapbox pricing vs. Google Maps pricing, side by side. Compare how each bills, what's free, and what a cheaper alternative looks like, plus customer savings and a migration guide.

Resources

What is a mule account, and how does precise location detect it?

Kyler Day

Fraud Operations Lead

What is a mule account, and how does precise location detect it?

A mule account passes KYC because a real person opens it, but then control shifts hands. See how precise location flags the handoff.

Product

How to investigate suspicious activity with the Radar MCP server in Claude or ChatGPT

Nick Donnelly

Senior Product Engineer, Radar

How to investigate suspicious activity with the Radar MCP server in Claude or ChatGPT

The Radar MCP server lets fraud and risk teams query location data from Claude or ChatGPT in plain language. Here is how an investigation works, what data is shared, and how access is controlled.

Industry

Watch on demand: How to use AI and location to make faster risk decisions

Rachel Rosensweig

Product Marketing Lead, Fraud

Watch on demand: How to use AI and location to make faster risk decisions

Fraud teams have more signals than ever, but connecting users, devices, networks, and locations still takes hours of manual work. See how AI and location intelligence work together to surface coordinated fraud faster, plus a first look at Radar’s new MCP server and integrations with ChatGPT and Claude.

Product

Introducing Radar’s MCP server and integrations with ChatGPT and Claude

Nick Patrick

Co-Founder and CEO

Introducing Radar’s MCP server and integrations with ChatGPT and Claude

Radar’s new AI-native tools enable fraud teams to investigate location, device, and network data using natural language.

Industry

On demand: How precise location uncovers fraud signals traditional signals miss

Radar Team

On demand: How precise location uncovers fraud signals traditional signals miss

Sophisticated fraud can look completely clean on the surface; a normal IP, a recognized device, no red flags in traditional checks. See how precise location reveals what those signals miss, exposing account takeover and coordinated fraud rings hiding behind seemingly unrelated accounts.

Industry

Three ways to use precise location to detect and prevent fraud

Nick Patrick

Co-Founder and CEO

Three ways to use precise location to detect and prevent fraud

Precise location verifies user location, flags coordinated fraud rings, and detects account takeover, catching what IP and device signals alone miss.

Product

Location signals in fraud prevention: Why precise location reveals the connections IP misses

Nick Patrick

Co-Founder and CEO

Location signals in fraud prevention: Why precise location reveals the connections IP misses

IP geolocation only estimates a network's location. See how precise location connects unrelated accounts and devices operating from the same address.

Resources

How does location intelligence detect coordinated fraud in financial services?

Kyler Day

Fraud Operations Lead

How does location intelligence detect coordinated fraud in financial services?

Fraud rings that pass IP, device, and KYC checks still expose you to AML risk. Learn how location intelligence flags shared hotspots before money moves.

Company

From location infrastructure to location intelligence: Radar’s latest brand refresh

Audrey Na

VP of Design

From location infrastructure to location intelligence: Radar’s latest brand refresh

This post covers the strategy behind the refresh, the system we designed, and how a new way of working brought brand and product closer together.

The Radar Blog

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