Fingerprint has released the preview version of its AI Assistant Detection and Automation Intelligence API, delivering an AI traffic identification layer designed to detect automated systems in real time.
The tool provides visibility into traffic from prominent AI assistants, including OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude.
The Automation Intelligence API powers the technology as a platform-agnostic solution that identifies automated traffic without requiring client-side JavaScript.
The launch follows the company’s February 2026 release of Authorised AI Agent Detection. Together, the tools aim to provide a unified view of AI traffic, encompassing agents that take actions on a user’s behalf and assistants that browse and summarise content.
Navigating browserless AI traffic
Traditional web security and analytics tools operate on the assumption that web traffic stems from humans opening standard browsers.
JavaScript-based detection systems rely on this assumption, but the rise of browserless AI assistants presents a challenge to this model.
AI assistants access websites over HTTP to pull content, summarise documentation, and conduct research without executing JavaScript.
The company highlighted this accelerating shift by pointing to tools like Google’s Gemini Spark, which runs on dedicated cloud virtual machines without a user opening a browser, alongside similar patterns from OpenAI‘s ChatGPT and Anthropic‘s Claude.
“The web is going browserless, and the pace of that shift is faster than most security stacks were built to handle,”
said Valentin Vasilyev, Co-founder and Chief Technology Officer, Fingerprint.
“Google’s Gemini Spark, ChatGPT, and Claude demonstrate how a growing share of traffic will arrive with no browser, no JavaScript, and no traditional signals to rely on.”
Closing the blind spot in bot detection
According to Fingerprint, traditional bot detection creates a blind spot because malicious scrapers and low-quality bots frequently spoof the user-agent of popular AI assistants.
Security operators often hesitate to block this traffic out of fear of cutting off legitimate AI discovery channels, allowing impersonators to scrape data or skew analytics.
By operating at the HTTP level rather than relying on browser-based signals, the new solution verifies legitimate assistant traffic and flags impersonators before they access content.
The API can be deployed at the content delivery network edge, in middleware, or on any backend cloud platform to analyse requests before they reach an application.
Providing contextual network intelligence
In addition to a verdict, the system delivers network risk intelligence, including proxy, virtual private network, Tor, and geolocation signals, to help teams block, throttle, or allow traffic.
The AI Assistant Detection signal is currently available in preview to a select group of existing Fingerprint customers using the Bot Detection Smart Signal at no additional cost.
The company plans to add support for Microsoft’s Copilot, xAI‘s Grok, and OpenClaw in future updates.
Featured image credit: Edited by Fintech News Switzerland, based on image by brilian via Magnific
