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Fingerprint

Fingerprint provides device intelligence and browser/device fingerprinting technology that enterprises use to detect fraud, account takeover, and bot abuse.

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68/100Incremental Innovator

Overview

Fingerprint (formerly FingerprintJS) builds device identification technology that generates a stable, persistent identifier for a browser or device by combining roughly a hundred signals drawn from the browser, device hardware, and network context. The core problem it solves is re-identifying a returning visitor or device with high confidence even when that visitor clears cookies, uses a VPN, or otherwise tries to evade simpler tracking methods — a capability enterprises use for fraud detection, account-takeover prevention, and bot/abuse mitigation rather than for consumer tracking or advertising.

The company started in 2012 as an open-source browser fingerprinting library before commercializing as a SaaS product in 2019. Headquartered in Chicago and fully remote, Fingerprint has raised roughly $77 million in total funding, including a $33 million Series C round backed by Craft Ventures. Disclosed customers using the platform for fraud defense and personalization include Dropbox and Neiman Marcus.

Fingerprint competes in the identity-signal layer of fraud prevention alongside device-intelligence vendors like Seon and bot-management players like PerimeterX/HUMAN, differentiating primarily on identifier accuracy and low false-positive rates in its open-source-derived core library, which gives outside developers some ability to inspect and validate its detection logic rather than treating it as a pure black box.

Innovation Matrix Assessment

Innovation Velocity 7/10

The company has evolved steadily from an open-source library into an enterprise SaaS platform expanding from web to mobile and server-side signals, showing consistent but not category-redefining product velocity.

Operational Value 7/10

Disclosed enterprise customers (Dropbox, Neiman Marcus) using the platform in production for fraud detection and personalization indicate a real, functioning deployment model beyond early-stage pilots.

Market Momentum 7/10

A 2025 Series C of $33M and reported 65-175% ARR growth (vendor-disclosed) signal real commercial traction, though total funding of $77M remains modest next to larger fraud-platform competitors.

Category Disruption 6/10

Its origin as an open-source fingerprinting library is a genuine differentiator that lets outside parties inspect core detection logic, but device fingerprinting itself is a mature, well-understood technique rather than a novel one.

Real-World Efficacy 7/10

Named customers describe using the platform for concrete fraud and account-takeover use cases, which is a meaningful signal, though we found no independent, third-party-audited accuracy or false-positive benchmark for the product.

Enduring Relevance 7/10

Device intelligence remains a core building block of fraud and bot defense as attackers increasingly automate account-takeover and fake-account creation, keeping the category consistently relevant to CISOs and fraud teams alike.

Why CISOs Should Care

CISOs and fraud teams get a persistent device identifier that survives cookie clearing and basic evasion attempts, giving them a harder signal to anchor risk scoring and step-up authentication decisions on.

What Makes It Different

Its open-source lineage differentiates it from black-box device-fingerprinting competitors, since the core identification library can be inspected rather than taken purely on faith.

The Matrix Verdict

68/100 — INCREMENTAL INNOVATOR

A credible, well-adopted device-intelligence specialist with real named customers and growing revenue, but it operates in a maturing technique category where differentiation increasingly comes down to accuracy tuning rather than fundamentally new capability.

Editorial Note: Claims vs. Verified Findings

Independently verifiable: named customers Dropbox and Neiman Marcus, funding round amounts and investors reported by SecurityWeek/DarkReading/PR Newswire. Vendor-sourced and unverified: specific ARR growth percentages (65%, 175%) and 'near 100 signals' accuracy claims come from company press releases and were not independently audited by us.

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