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Graphic for AI fraud detection blog post
May 13, 2026

AI fraud detection: 6 strategies to stop attacks in real time

Understand what AI fraud detection is, what technology it relies on to detect scams, and what some of the best AI strategies are for catching fraud.

Evelyn Chea photo
Evelyn Chea
Top 5 hCaptcha alternatives in 2026: Puzzle-free bot detection
May 12, 2026

Top 5 hCaptcha alternatives in 2026: Puzzle-free bot detection

hCaptcha still frustrates users and struggles with sophisticated bots. Explore better alternatives, such as invisible device fingerprinting, that protect without the friction.

Alvin Ciby photo
Alvin Ciby
Bot detection radar
May 8, 2026

Bot detection: How to block bad bots in 2026

Bot detection is the process of identifying and blocking automated web traffic, typically used in cybersecurity to prevent malicious activities.

Keshia Rose photo
Keshia Rose
Technical illustration of an AI interface with a facial recognition diagram labeled "verified user account." Includes user data: visitor ID, browser, operating system, and IP address.
April 27, 2026

How IDV platforms can eliminate blind spots with device intelligence

Read our in-depth report on how device intelligence closes risk gaps and strengthens your identity verification stack.

Matt Wilkens photo
Matt Wilkens
Top 6 CAPTCHA alternatives for 2026: Better ways to stop bots without blocking real users
April 27, 2026

Top 6 CAPTCHA alternatives for 2026: Better ways to stop bots without blocking real users

Tired of image puzzles blocking real users? Explore the best CAPTCHA alternatives and find the right bot protection for your site.

Alvin Ciby photo
Alvin Ciby
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.

Dai Nguyen photo
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.

Carley Stugelmayer photo
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.

Alexander Goodwin photo
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.

Matt Wilkens photo
Matt Wilkens
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