Fingerprint has introduced AI Assistant Detection and the Automation Intelligence API in preview, offering the industry’s most complete solution for identifying AI-generated traffic. AI Assistant Detection gives companies accurate, real-time insight into visits from top AI assistants such as OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude. This feature is backed by the new Automation Intelligence API—a flexible, platform-independent tool from Fingerprint that recognizes automated traffic without needing any client-side JavaScript.
This release builds on Fingerprint’s earlier launch of Authorized AI Agent Detection in February 2026. Combined, these tools create the most thorough AI traffic identification layer available today. Organizations can now monitor all types of AI-driven activity—from autonomous agents acting for users to assistants browsing and summarizing content—helping them maintain a safe and efficient experience in an AI-first web environment.
The web is shifting away from browsers
Historically, web security and analytics solutions operated under the assumption that visitors used browsers. Detection methods based on JavaScript worked well because this was true. That’s rapidly changing.
Today, many AI assistants fetch content, compile summaries, and explore sites via HTTP requests—no page loads or browser windows involved. This trend is speeding up. For example, Google’s Gemini Spark, unveiled at I/O 2026, runs on cloud-based virtual machines that operate continuously without users opening a browser or device. Similarly, OpenAI’s ChatGPT agent and Anthropic’s Claude function the same way. These AI systems aren’t just occasional visitors—they’re becoming the core infrastructure through which people will access the internet going forward.
“The move toward a browserless web is accelerating faster than most security systems were designed to handle,” said Valentin Vasilyev, co-founder and CTO of Fingerprint. “With tools like Gemini Spark, ChatGPT, and Claude driving more traffic without traditional signals like JavaScript or browser sessions, businesses need new ways to understand who—or what—is visiting their sites. The Automation Intelligence API represents our response to this shift: we’re building intelligence that works where traffic actually happens. The key question isn’t ‘Is this a bot?’ anymore—it’s ‘Can I trust this visitor?’ And now, Fingerprint gives organizations a reliable answer.”
Authenticating AI assistant traffic
Most traditional bot detection tools depend on JavaScript, which most AI assistants don’t run—leaving a significant gap for both security and growth teams. Cybercriminals have exploited this weakness: fake scrapers often disguise themselves as well-known AI assistants knowing that many companies won’t risk blocking such traffic, fearing it could cut off a valuable source of referrals.
Fingerprint’s AI Assistant Detection addresses this vulnerability by analyzing traffic at the HTTP level instead of relying on browser-based signals. This allows businesses to see exactly which AI tools are interacting with their site—and spot imposters before they steal data or distort analytics.
Driven by the Automation Intelligence API
AI Assistant Detection is powered by Fingerprint’s newly launched Automation Intelligence API, designed for a web increasingly influenced by AI assistants, agents, bots, and other automated software. For the first time, Fingerprint provides its full automation detection capabilities without requiring any JavaScript in the browser. The API can be deployed at the CDN edge, in middleware, or directly within backend systems—anywhere requests land before reaching your application.
More than just flagging automated activity, the API delivers detailed context. Alongside each classification, it includes rich network and IP risk data—such as whether the traffic is using a proxy, VPN, Tor, or its geographic origin. This empowers security and product teams to make informed, real-time decisions as traffic enters their systems. Instead of simple allow-or-block choices, they can throttle, escalate, or permit access with full situational awareness.
“AI assistants like ChatGPT and Claude are quickly becoming how users explore the web, yet many security setups still treat them as rare exceptions,” said Todd Thiemann, principal analyst at Omdia. “Fingerprint’s solution offers enterprises real-time visibility into AI-driven traffic without depending on browser behavior. For organizations aiming to safeguard content, minimize fraud, and still welcome AI as a discovery channel, this kind of capability is moving from optional to essential.”
Key features and benefits:
- Verified Identification: Instantly distinguishes genuine traffic from ChatGPT, Gemini, and Claude versus spoofed AI assistant requests.
- HTTP-Level Detection: Identifies AI assistants that evade traditional JavaScript-based tools, closing a major security blind spot.
- Unified AI Classification: Accurately labels which AI assistant (and provider) is accessing your content.
- Automation Intelligence API – No JavaScript Needed: The core engine behind AI Assistant Detection and the foundation of Fingerprint’s AI-native detection platform. Works seamlessly across websites, APIs, CDNs, and edge environments—regardless of where requests originate. As assistants like Gemini Spark, ChatGPT, and Claude increasingly represent user behavior online, this API ensures Fingerprint’s intelligence stays effective everywhere.
- Actionable Intelligence: Every detection comes enriched with IP and network risk insights—including proxy, VPN, Tor, and geolocation—to enable nuanced policies instead of blanket blocks.
- Seamless Integration: Available at no extra cost for existing Fingerprint customers using bot detection Smart Signals.
AI Assistant Detection is currently in preview, accessible only to a select group of Fingerprint clients. Upcoming support will cover Microsoft’s Copilot, xAI’s Grok, and OpenClaw.
