Fingerprint launches AI Assistant Detection to spot traffic from ChatGPT, Gemini and Claude
FingerprintJS Inc. launched a preview of AI Assistant Detection to identify traffic from AI tools like ChatGPT, Gemini, and Claude, addressing a gap in web security as browserless requests grow. The solution uses HTTP-level verification and integrates with the Automation Intelligence API to help businesses distinguish legitimate AI traffic from malicious bots or impersonators.
Device intelligence company FingerprintJS Inc. introduced AI Assistant Detection, a tool designed to detect and classify traffic originating from major AI assistants, including OpenAI Group PBC’s ChatGPT, Google LLC’s Gemini, and Anthropic PBC’s Claude. The product operates independently of browser signals, addressing a critical blind spot where AI-driven requests—such as those from Google’s Gemini Spark—bypass traditional bot defenses by accessing content via HTTP without loading a webpage. The solution builds on Fingerprint’s existing Authorized AI Agent Detection, released in February, to provide a unified view of both autonomous AI agents and AI assistants that browse and summarize web content. By identifying AI traffic at the HTTP level, businesses can monitor which AI tools are accessing their sites and block impersonators before they scrape data or distort analytics. Fingerprint’s approach includes IP-range matching for services like ChatGPT and Claude, along with DNS-based verification for Gemini, ensuring accurate classification. The Automation Intelligence API, which powers the detection, can be deployed at the edge, in middleware, or on backend systems across cloud platforms. It also provides IP and network risk signals, such as proxy, VPN, TOR, and geolocation data, enabling granular traffic control rather than blanket blocks. The launch reflects the growing challenge of browserless web traffic, which outpaces the adaptability of many security systems. Valentin Vasilyev, co-founder and CTO of Fingerprint, noted that the shift demands a new approach: ‘The question is no longer *Is this a bot or a human?* It’s *Can I trust this visitor, whoever it is?*’ AI Assistant Detection is available in preview to select customers at no additional cost for those already using Fingerprint’s Smart Signal bot detection. FingerprintJS has raised $77 million in funding, including a $32 million round in November 2021, with investors such as Craft Ventures, Nexus Venture Partners, and Uncorrelated Ventures. The company’s tools aim to help organizations adapt to the evolving landscape of automated and AI-driven web interactions.
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