Fingerprint Blog

An AI agent uses the Fingerprint MCP Server to look for suspicious activity.

March 16, 2026

Introducing the Fingerprint MCP Server: the AI interface for device intelligence

The Fingerprint MCP Server connects any AI agent to your device intelligence data, enabling fraud teams to investigate suspicious activity, detect anomalies, and analyze events using natural language in seconds instead of hours.

Valentin Vasilyev

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Graphic showing a phone with a protective barrier and device signals floating around it.

March 31, 2026

How to harden your Fingerprint implementation against real-world attacks

Learn how attackers target Fingerprint integrations at the browser, device, app, and network level, and the specific steps you can take to harden your implementation.

Keshia Rose

March 30, 2026

Authorized push payment fraud in modern banking

Learn how to scale digital banking fraud prevention without breaking customer trust.

Alexander Goodwin

A stylized screenshot of the Web Bot Auth verification page

March 24, 2026

Web Bot Auth: What it is, how it works & how to test your bots

Web Bot Auth lets bots cryptographically prove their identity. Learn how it works and use our free testing page to validate your implementation.

Keshia Rose

Illustration of a fraud scheme using “mule” bank accounts: a central verified user account at a bank is surrounded by multiple linked accounts labeled Account Mule numbers 1 through 4, with dashed arrows showing money being routed through each account to a fraudster.

March 17, 2026

How to detect mule accounts

Learn how fraud teams can detect mule accounts with device intelligence — identifying shared devices, persistent identifiers, and network-level patterns that transaction monitoring alone can't catch.

Matt Wilkens

March 13, 2026

Loan application fraud: How businesses can prevent it

Explore loan fraud, identity theft, and bot attacks, and discover preventive strategies to protect financial integrity.

Jennifer Marsh

March 12, 2026

Product update: Faster fraud detection with less work

Explore Fingerprint’s Q1 product updates, including API v4, enhanced anti-detect browser detection, real location detection, and a new no-code rules engine built for faster fraud prevention.

Crystal Yang

Fingerprint releases Device Intelligence Report: Data Trends & Risk Patterns in Global Online Traffic

March 10, 2026

We analyzed 23 billion device identification events. Here's what we found.

The 2026 Fingerprint Device Intelligence Report breaks down real traffic at decision points like login and checkout, with data on VPN usage, browser tampering, automation, and more across 23+ billion identification events.

Keshia Rose

Image for behavioral analysts vs. device intelligence blog post

February 26, 2026

Behavioral analysis vs. device intelligence: Which is better?

Behavioral analysis and device intelligence each have strengths, but together they deliver a powerful, more accurate, and low-friction fraud prevention solution. Learn why modern fraud stacks need both.

Keshia Rose

February 12, 2026

How to detect bot-driven job application fraud in ATS platforms

Learn how to detect bot-driven job application fraud in ATS platforms, recognize early warning signs, and stop automated spam without blocking real candidates.

Keshia Rose

February 12, 2026

Essential bot management solutions: 6 top picks

Explore the top 6 bot management solutions to protect your business from digital threats in today's online landscape. Secure your assets now.

Courtney Rogin

February 3, 2026

From bots to agents: why identifying AI traffic with certainty matters

AI agents are becoming first-class actors online. Learn why distinguishing authorized AI agents from malicious bots is critical for security, trust, and growth.

Valentin Vasilyev