TLDR: Fingerprint, a leader in device intelligence, has launched new Smart Signals and platform enhancements designed to detect and differentiate between legitimate and malicious automated web traffic, including sophisticated AI agents and bots. This initiative addresses the growing threat of AI-driven fraud and the increasing prevalence of automated internet traffic.
CHICAGO – July 15, 2025 – Fingerprint, a prominent provider of device intelligence solutions for fraud prevention, account security, and optimizing returning user experiences, today announced the release of new Smart Signals and significant platform enhancements. These innovations are specifically engineered to identify and distinguish between malicious bots and advanced AI agents, and legitimate automated traffic.
The introduction of these new capabilities comes at a critical juncture, as automated traffic now accounts for over half of all internet activity, with a substantial 30% classified as malicious. Furthermore, industry analysts like Gartner predict the emergence of fully autonomous AI agents by 2036, intensifying the challenge for businesses to discern beneficial automation from harmful activities. This evolving landscape necessitates sophisticated tools to protect against increasingly complex fraud schemes without impeding innovation or legitimate transactions.
Fingerprint’s new Smart Signals tackle this challenge by providing real-time risk indicators. These indicators are derived from a comprehensive analysis of a device’s behavior, environment, and configuration, empowering enterprises to make more informed decisions regarding web traffic. The company’s core technology, powered by highly accurate device fingerprinting, processes over 100 signals from browsers, devices, and networks to generate a stable and persistent unique VisitorID, crucial for understanding visitor intent.
Dan Pinto, CEO and co-founder of Fingerprint, emphasized the urgency of this development, stating, “Bots and AI agents represent both the biggest current risk and the fastest-evolving threat landscape we’ve seen. As agentic AI technology advances rapidly and becomes more cost-effective, malicious actors are increasingly leveraging these tools for sophisticated fraud. Fingerprint’s new Smart Signals ensures enterprises can harness the benefits of AI while maintaining robust defenses against malicious bots and agents that threaten essential business operations.”
The new suite of features includes a dedicated Bot Detection Smart Signal, capable of identifying dozens of bot detection and browser automation software tools. This signal performs intelligent classification on each API request to determine whether a bot or agent is legitimate or malicious, ensuring that only verified beneficial bots and agents are classified as trustworthy. Additionally, a Virtual Machine Detection Smart Signal further enhances AI agent and bot detection by pinpointing virtual machines, which are frequently employed in automated fraud. Fingerprint has also introduced Request Filtering functionality, which allows customers to filter out known user agents utilized by AI companies for web scraping, model training, and AI assistants, thereby optimizing billing costs without compromising fraud detection capabilities.
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These new Smart Signals and features are available immediately and are designed for seamless integration with existing Fingerprint implementations, offering organizations comprehensive visibility into visitor intent and enabling proactive defense against evolving attack patterns.
