Fingerprint has launched a new product called AI Assistant Detection. This tool is designed to identify traffic originating from large language models such as ChatGPT, Gemini, and Claude. Its purpose is to help companies differentiate between human and AI-generated interactions.
Fingerprint is addressing a specific measurement problem: companies increasingly need to tell human traffic from assistant-driven traffic. That matters for product analytics, fraud checks, and any workflow that depends on knowing who or what generated an interaction. The launch also shows AI-model traffic is becoming specific enough to merit a named detection product rather than a generic bot filter. The key signal to watch next is whether Fingerprint expands AI Assistant Detection beyond ChatGPT, Gemini and Claude or adds details on how the detection is exposed to customers.
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