Fingerprint Blog

An array of multiple text lines in boxes with icons signifying internet traffic. Some boxes say "unknown_bot" and some say "meta_muse."
October 6, 2026

How to detect Meta’s Muse AI agent traffic

Muse, Meta’s new AI agent, logs in, shops, and browses for its users without identifying itself. Fingerprint now detects it. Here's how to spot Muse on your website.

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Catherine Woneis

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September 24, 2026

How to detect anti-detect browsers: 4-layer approach

Traditional fraud detection fails against anti-detect browsers. Learn 4 layered detection methods: tamper detection, automation checks, network intelligence, and device rarity scoring.

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September 22, 2026

How to prevent payment fraud: 5-step framework

Learn a practical 5-step framework to prevent payment fraud. Includes detection logic, response actions, and metrics to reduce fraud while keeping friction low.

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Keshia Rose
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September 14, 2026

4 types of payment fraud and how to prevent them

Learn about the most common types of payment fraud and how you can prevent it from tanking your revenue.

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Evelyn Chea
A prominent red circle with the Claude logo in the center, encircled by floating warning exclamation signs.
September 11, 2026

6 takeaways from Anthropic's Threat Intelligence Report for fraud and risk teams

Anthropic's September 2026 report reveals how AI is automating fraud tactics at scale—from account farming to payment rerouting. What fraud teams need to know.

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Matt Wilkens
login interface
September 8, 2026

6 most effective techniques to prevent credential stuffing

Credential stuffing attacks are growing in scale and cost. Discover the 6 most effective prevention techniques to stop automated login abuse and protect your users' accounts.

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Savannah Copland
A dark orange graphic with the text "What's new in Fingerprint" in an orange-bordered frame.
September 3, 2026

Closing the gaps attackers hide in: new signals for mobile and web

A roundup of what Fingerprint shipped recently, covering Active Call Detection on mobile, the Chrome and Chromium-based browser distinction, developer tools detection for mobile apps, and Proximity ID on the web.

Keshia Rose photo
Keshia Rose
Fingerprint device intelligence logo image, overlaid on a digital code background with the words "Fingerprint embedded" displayed.
September 2, 2026

Embedded device intelligence: Why leading platforms partner with Fingerprint

Explore how OEM partnerships with Fingerprint help platform providers deliver built-in fraud detection and device identification.

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Antoine Boucher
A name plate of the report that says "Building loyalty under pressure in modern travel platforms"
September 1, 2026

The shift to trusted sessions: Loyalty fraud prevention in travel and hospitality platforms

Travel and hospitality platforms face rising fraud risks. Learn why effective loyalty fraud prevention requires shifting to real-time, session-level trust to protect revenue and customer loyalty.

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Matt Wilkens
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September 1, 2026

What is account takeover (ATO)? 8 real-world examples

Learn how account takeover has impacted businesses in the real world, which industries are most at risk, and what precautions can help prevent these attacks.

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Keshia Rose
Image depicting multiple bots
August 28, 2026

6 bot detection tools to enhance online security

Elevate your cybersecurity with 6 essential bot detection tools. Learn how to shield your online presence from bots effectively.

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Evelyn Chea
An illustration of a magnifying glass revealing a bot behind a browser window indicating improved website performance and user experience.
August 25, 2026

Automation Intelligence API for UCP: How to detect automated ecommerce checkout bots

Stop bots at checkout when there's no browser to fingerprint: Using the Automation Intelligence API with Google UCP.

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Valentin Vasilyev
Illustration of a corded phone and dialpad with a screen that reads F-R-A-U-D on the display.
August 21, 2026

New Smart Signal: Active Call Detection for iOS and Android

Fingerprint's new Active Call Detection Smart Signal shows when a user is on a call during sensitive actions, giving fraud teams real-time context on vishing.

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Keshia Rose
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