2026 WINNER · CYBERSECURITY STARS AWARDS
Fingerprint · Fingerprint Device Intelligence Platform
Best Fraud Prevention Platform
Overview
The Fingerprint Device Intelligence Platform enables businesses to accurately identify and understand the intent of their human and agentic website visitors. With 99% of organizations reporting losses due to AI-driven attacks, Fingerprint eliminates the growing blind spot at the intersection of customer experience and security. Its Device Intelligence Platform identifies over 1 billion unique devices every month by processing hundreds of signals in real time, helping fraud teams quickly distinguish trusted visitors from bad actors at scale. This proactive approach ensures companies can block high-risk activity without resorting to friction-heavy verification measures that alienate legitimate users.
The Fingerprint Device Intelligence Platform stands out for its persistent unique visitor ID that remains stable even through evasion tactics like clearing cookies or using VPNs. Moving beyond the ineffective "block-all-bots" methods, the platform leverages over 20 Smart Signals to continuously evaluate behavioral and device-level risk throughout a session. Fingerprint's Authorized AI Agent Detection identifies verified agentic traffic with 100% certainty. Furthermore, its Model Context Protocol Server efficiently transforms complex fraud analysis into AI-powered insights, providing fraud teams with the confidence to stay ahead of rapidly evolving threats.
Key Capabilities
Fingerprint provides the world's most accurate device intelligence platform, identifying over 1 billion unique devices monthly. By processing hundreds of real-time signals, Fingerprint enables fraud teams to distinguish between trusted visitors, malicious bots, and authorized AI agents with industry-leading accuracy — ensuring fraud prevention does not come at the expense of user experience. Fingerprint's device intelligence platform provides:
- Persistent Visitor ID: Generates a high-accuracy identifier that remains stable even through common evasion tactics like clearing cookies, using Incognito mode, or switching IP addresses.
- Authorized AI Agent Detection: The industry's first ecosystem that identifies verified AI agents with 100% certainty, permitting legitimate automation while blocking malicious bots.
- Smart Signals & AI-Powered Suspect Score: Delivers real-time intelligence on VPN usage, browser tampering, bot activity, residential proxies, and other network and hardware signals. The platform includes AI-powered recommendations that allow teams to train fraud models on their own data, eliminating the need for manual tuning.
- Model Context Protocol (MCP) Server: The first open-source MCP implementation in the fraud prevention space allows analysts to query complex device data using natural language through AI assistants like ChatGPT or Claude.
Fingerprint provides global leaders like Dropbox, Booking.com, and Checkout.com with the real-time, device-level signals they need to proactively detect fraud with high accuracy. From detecting suspicious activity in real time to navigating agentic AI environments, Fingerprint ensures enterprises are prepared to fight fraud without the friction of legacy fraud detection solutions.
How we are different
Fingerprint offers industry-leading device identification accuracy. While users and agents can easily bypass legacy tools by clearing cookies or using private browsing, Fingerprint's persistent visitor ID remains stable across sessions without collecting personal information. This allows businesses to detect returning fraudsters instantly, eliminating the need for friction-heavy solutions like CAPTCHAs and MFA that frustrate legitimate users.
The traditional "block-all-bots" approach risks blocking authorized agents acting on behalf of legitimate users. Its Authorized AI Agent Detection ecosystem enables enterprises to detect verified agentic AI traffic with 100% certainty, making it the platform that recognizes the highest number of AI agents on the market.
Fingerprint also redefines how fraud teams interact with data. Its Model Context Protocol (MCP) Server allows analysts to investigate threats and identify patterns using natural language through the AI assistants they already trust. Fingerprint's AI-powered Suspect Score stays ahead of AI-driven attacks that bypass static models by allowing customers to train their ML model on their own labeled data to generate optimized, traffic-specific signal weights. By moving from manual tuning to an adaptive scoring model, Fingerprint enables fraud teams to eliminate bottlenecks and keep pace with evolving threats in real time.
Fingerprint's leading device intelligence accuracy, privacy-first design, and forward-looking innovation set it apart among its competitors in the fraud prevention space. From detecting fraudsters in real time to navigating the fraud threats that malicious AI agents pose, Fingerprint is continuously evolving to stop threats before they scale.
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