Fingerprint Introduces Advanced Bot and AI Agent Detection to Safeguard the Future of Agentic Commerce
Fingerprint, a global leader in device intelligence and fraud prevention, today unveiled Smart Signals, a major enhancement to its platform designed to help enterprises identify malicious bots and autonomous AI agents—without blocking legitimate automation or disrupting user experience.
As the internet faces an onslaught of automated traffic, with over 50% of all activity now bot-driven and 30% deemed malicious, businesses need a smarter way to separate helpful AI from harmful agents. Fingerprint’s latest innovation provides real-time risk signals based on user behavior, device configuration, and environmental data to expose fraudulent automation at the source.
“We’re entering an era where AI agents are both a competitive advantage and a critical threat,” said Dan Pinto, CEO and Co-founder of Fingerprint. “Our new Smart Signals allow companies to embrace agentic technology safely—by giving them the visibility to distinguish good automation from bad actors.”
Capabilities of Fingerprint’s New Smart Signals
- Bot Detection Smart Signal
Uses intelligent classification to identify dozens of automation tools, separating malicious bots from approved AI services on a per-request basis. - Virtual Machine Detection
Flags device environments commonly used for automated fraud schemes, offering another defense layer against AI-driven abuse. - Residential Proxy Detection
Detects residential IP masking techniques often used by agentic fraud actors, assigning confidence levels to proxy use for better threat modeling. - Request Filtering
Enables filtering of known legitimate AI agents (e.g., web scrapers, AI assistants) to reduce operational costs while preserving security signals.
A Growing Need for Intelligent Fraud Defense
As agentic commerce and autonomous AI agents become more deeply integrated into business and consumer ecosystems, security must evolve in parallel. Fingerprint’s enhanced platform empowers organizations to:
- Prevent AI-driven fraud before it occurs
- Optimize for trusted automation without losing visibility
- Maintain compliance and performance with dynamic, real-time risk insights
The enhancements are available immediately and integrate seamlessly into existing Fingerprint deployments.
“With Smart Signals, enterprises can confidently support AI innovation without opening new risk channels,” said Pinto. “It’s fraud prevention engineered for the AI-first internet.”
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