Fingerprint, the industry leader in device intelligence, today announced it surpassed $50 million in annual recurring revenue (ARR), marking a major milestone in the company’s rapid growth as enterprises increasingly turn to device intelligence to combat fraud and improve returning user experiences. The milestone reflects strong customer adoption, expanding platform usage, and sustained revenue momentum across the business.
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Fingerprint has evolved from an open-source browser fingerprinting project into one of the fastest-growing fraud prevention platforms in the world. Over the past two years, the company achieved nearly 200% revenue growth, reflecting accelerating enterprise demand for AI-ready fraud prevention. During that same period, Fingerprint expanded its customer base by 93% and grew its presence to 56 countries. Today, more than 6,000 organizations worldwide leverage Fingerprint to identify over 1 billion unique devices every month and process more than 80 million real-time API events every day. That scale gives customers unmatched visibility into emerging fraud, helping them prevent more than $1 billion in losses annually while delivering seamless experiences for legitimate users.
“Surpassing $50 million in ARR is a defining milestone for Fingerprint and one that only a small fraction of startups ever achieve,” said Dan Pinto, CEO and co-founder of Fingerprint. “It’s a testament to the relentless innovation of our employees, the trust of our customers, and the confidence of our investors. This milestone reflects what we’ve built together and the opportunity still ahead.”
Combating the Evolution of AI Fraud
Fraudsters are increasingly weaponizing AI to execute highly sophisticated, scalable attacks, rendering many older, legacy fraud prevention methods ineffective. Today’s threat actors deploy automated AI scripts to bypass traditional defenses, executing rapid credential stuffing and account takeovers. To combat modern fraud effectively, enterprises require layered, adaptive fraud prevention built on a holistic view of user identity.
Through its analysis of hundreds of device signals alongside more than 20 Smart Signals, Fingerprint provides that holistic view. Fingerprint continuously researches and evolves its product offerings based on emerging trends. Having pioneered the device intelligence category, Fingerprint is now leading the industry’s push to detect malicious AI agents and automated assistants, and launched its Authorized AI Agent Detection this year, along with AI Assistant Detection and the Automation Intelligence API in preview.
“Device intelligence will be the foundation of the next generation of fraud prevention,” said Pinto. “As AI continues to blur the line between trusted users and sophisticated automation, organizations need continuous, real-time intelligence to make confident trust decisions. That’s why we’re continuing to invest in innovations that help enterprises stay ahead of the next generation of fraud.”
Authorized AI Agent Detection is an ecosystem of AI agents that includes OpenAI, AWS AgentCore, Browserbase, Manus, and Anchor Browser. With this ecosystem, Fingerprint customers can detect verified agentic AI traffic with 100% certainty, enabling enterprises to differentiate trusted, permissioned automation from malicious bots and scrapers. AI Assistant Detection provides businesses with verified, real-time visibility into traffic from the world’s leading AI assistants, powered by the Automation Intelligence API, which identifies automated traffic without requiring any client-side JavaScript.
“As agentic web accelerates, the ability to definitively distinguish authorized AI agents from malicious automation is becoming a foundational requirement for enterprise fraud prevention,” said Suzanne Sando, Lead Analyst at Javelin Strategy & Research. “Solutions that move beyond probabilistic bot detection to deterministic, verified identification of agentic traffic will define the next generation of trust infrastructure.”
By equipping fraud teams with actionable, real-time risk intelligence, organizations can optimize their rules engines, make faster, more accurate decisions, and ultimately strengthen their entire fraud prevention stack.
“Fingerprint’s device intelligence helps us spot sophisticated anomalies in real time, allowing us to make fast, confident decisions against automated threats,” shared the Senior Director of Fraud Investigations at ID.me. “Those insights feed directly into our fraud models and controls, giving our team what we need to keep our members safe and their wallets secure. Beyond the technology, it’s a genuine partnership—the Fingerprint team regularly works closely with ours on real use cases and uses our input to inform the product’s future direction.”
About Fingerprint
Fingerprint detects the intent of human and agentic visitors. Our device intelligence platform identifies over 1 billion unique devices every month and processes hundreds of signals to help fraud teams distinguish trusted visitors from bad actors at speed and scale. Over 6,000 companies, including innovators like Plaid, Booking.com, Dropbox, Trustpilot, and Checkout.com, use Fingerprint every day to recognize high-risk activity in real time, prevent fraud attacks, and deliver frictionless user experiences. Learn more at fingerprint.com.
Frequently Asked Questions (FAQ)
What does reaching $50M ARR signify for Fingerprint and the industry?
Achieving $50M ARR validates the critical market need for highly accurate device intelligence. It highlights Fingerprint’s position as an essential, foundational layer for enterprise fraud prevention stacks worldwide.
Why are legacy fraud prevention methods no longer effective?
Fraudsters are actively using AI to automate operations and mimic legitimate user behavior at scale. Traditional, single-point verification methods can’t adapt quickly enough. Enterprises need a layered, holistic view of user activity to stay ahead.
How does Fingerprint detect AI-driven fraud?
Fingerprint is an industry leader in detecting automated AI agents and assistants. By processing 80 million real-time API events daily and evaluating hundreds of device attributes in real time, Fingerprint instantly recognizes the digital fingerprints of bot networks, automated credential stuffing, and evasive AI scripts.
How do Fingerprint’s Smart Signals strengthen existing fraud stacks?
Fingerprint goes beyond basic device identification by offering over 20 specific Smart Signals. These actionable, real-time risk signals feed directly into an organization’s existing rules engine, enabling fraud teams to make faster, more accurate decisions without blocking legitimate users.
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