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Fingerprint expands device intelligence for the AI-driven web

Stack of assorted aged cellphones with black screens and portable music players on gray background
Illustrative photo.Photo by Skyler Ewing on Pexels

What happened

Blocking all automation risks disrupting legitimate AI-driven interactions, while trusting anything that claims to be an AI assistant or agent creates an opening for scraping, fraud and impersonation. Artificial intelligence is changing the makeup of internet traffic, making AI identity an emerging concern for websites and applications.

They are no longer interacting only with humans and traditional bots. AI assistants are retrieving content directly over HTTP, autonomous agents are navigating browsers and completing tasks on behalf of users and AI systems are increasingly connecting to enterprise tools and operational data.

For e-commerce and financial services companies, that creates a new identity problem. is expanding its platform to address that challenge through Authorized AI Agent Detection, AI Assistant Detection , its Automation Intelligence API (the interface one piece of software uses to talk to another) and the Fingerprint MCP Server. Together, these products are designed to help organizations identify different forms of AI traffic, distinguish verified systems from spoofed automation, and connect AI assistants with trusted fraud and device intelligence.

Sources & evidence