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.

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Valentin Vasilyev

All Articles

A graphic showing data leaking from one browser window to another
April 22, 2026

We found a stable Firefox identifier linking all your private Tor identities

We discovered a privacy vulnerability in Firefox Private Browsing and Tor Browser that allows websites to fingerprint and track users across origins using IndexedDB database ordering, even after closing all private windows.

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Dai Nguyen
A gauge showing a score based on multiple signal inputs like bot and VM detection
April 8, 2026

Suspect Score: AI-powered fraud scoring trained on your own data

Manual fraud scoring can’t keep up. Learn how Fingerprint’s Suspect Score uses AI and your labeled data to generate optimized scoring recommendations in minutes.

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Carley Stugelmayer
A graphic of a browser with an alert
April 3, 2026

Catching fraud that was designed to blend into real traffic

Fraudsters use manipulated browsers to blend into real traffic. Learn how Fingerprint’s enhanced anti-detect browser detection surfaces hidden abuse without added friction.

Carley Stugelmayer photo
Carley Stugelmayer
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 photo
Keshia Rose
Authorized push payment fraud in modern banking
March 30, 2026

Authorized push payment fraud in modern banking

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

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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 photo
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.

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Matt Wilkens
loan fraud application illustration
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.

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Jennifer Marsh
Product update: Faster fraud detection with less work
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.

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