Learn how to scale digital banking fraud prevention without breaking customer trust.
Web Bot Auth lets bots cryptographically prove their identity. Learn how it works and use our free testing page to validate your implementation.
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.
Explore loan fraud, identity theft, and bot attacks, and discover preventive strategies to protect financial integrity.
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.
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.
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.
Learn how to detect bot-driven job application fraud in ATS platforms, recognize early warning signs, and stop automated spam without blocking real candidates.
Explore the top 6 bot management solutions to protect your business from digital threats in today's online landscape. Secure your assets now.
AI agents are becoming first-class actors online. Learn why distinguishing authorized AI agents from malicious bots is critical for security, trust, and growth.
API v4 unifies Fingerprint’s Server API, Webhooks, and JavaScript Agent into a simpler and more consistent developer experience.
See how to deploy and enforce traffic rules at the edge using Fingerprint's Rules Engine deployed on Cloudflare, without touching application code.
Get updates about company news and new features of Fingerprint.