Fingerprint, a provider of device intelligence and fraud prevention technology, has reported a 175 percent increase in revenue over the past two years. The growth is attributed to rising enterprise demand for advanced identity and fraud detection solutions, particularly amid heightened concerns about AI-powered fraud, synthetic identities, and deepfakes. The company has doubled its Fortune 500 customer base and added 50 new enterprise clients in fiscal year 2025, with adoption concentrated in financial services, fintech, SaaS, e-commerce, and digital media sectors.
Notable customers including Dropbox, Glovo, and Banco Pan use the platform to mitigate evolving threats while maintaining seamless user experiences. However, while Fingerprint touts a 99.5 percent identification accuracy rate, industry experts continue to caution that device fingerprinting systems may still face challenges with false positives, spoofed devices, and varying behavior patterns across browsers and networks—particularly as fraudsters adopt increasingly sophisticated evasion tactics.
To support its global expansion, the company has appointed Shaun Per as VP of Global Sales and Catherine Woneis as VP of Product. Per brings experience from Stack Overflow and MongoDB, while Woneis previously led product management at CipherTrace. These hires reflect Fingerprint’s strategic push to scale operations and expand its enterprise product suite.
The platform has been enhanced with new Smart Signals features aimed at detecting high-risk behaviors, including velocity detection (for identifying account takeovers and suspicious geographic access), remote tools detection (for flagging social engineering tools like screen sharing), and developer tools monitoring (to detect tampering during checkout or login flows). While these tools are promising, detailed benchmarks on their effectiveness against specific threat vectors—such as AI-generated spoofing, synthetic identities, or deepfake-assisted fraud—are not yet publicly available.
“We’re excited to help more businesses balance account security with seamless user experiences,” said Dan Pinto, CEO and co-founder of Fingerprint. “Our focus this year is doubling down on enabling enterprise companies with the signals they need to strengthen their fraud detection and prevention capabilities while also helping them recognize and serve their returning users better than ever.”
The company’s device intelligence platform captures over 100 browser, device, and network signals to generate persistent VisitorIDs for each user. These identifiers help distinguish legitimate users from fraudsters, even when cookies or IP addresses are masked. Fingerprint currently serves more than 6,000 customers, including 16 percent of the top 500 websites, and maintains SOC 2 Type II, GDPR, and CCPA compliance.
The fraud prevention market is highly competitive, with major players such as Sift, Riskified, SEON, and Signifyd offering alternative approaches including machine learning, dynamic risk scoring, and behavioral analytics. Fingerprint’s reliance on browser- and device-level signals provides unique advantages in persistent identification, but questions remain regarding scalability, integration complexity, and resilience against emerging attacks.
To date, the company has raised $77 million in Series C funding. As enterprises continue to prioritize digital trust and seamless access, Fingerprint is positioning itself as a key enabler of fraud resilience through its Smart Signals architecture. Continued growth will likely depend on how well the company can address the evolving threat landscape, expand interoperability, and maintain regulatory alignment in a rapidly changing digital identity ecosystem.
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April 16, 2025 – by the ID Tech Editorial Team
