Fingerprint launches authorized AI agent detection product

Fingerprint

Fingerprint, a provider of device intelligence and fraud prevention technology, has announced the launch of Authorized AI Agent Detection, a new capability designed to help enterprises identify authorised agentic AI traffic with 100% certainty.

The new product has been introduced as AI agents account for a rapidly growing share of automated web traffic, forcing organisations to rethink how they distinguish legitimate automation from malicious bots and scrapers. Traditional approaches that block all automated traffic can disrupt valid workflows while still leaving businesses exposed to fraud, abuse, and revenue loss.

Fingerprint provides device intelligence technology that enables organisations to identify visitors across digital environments. Its platform is used by enterprises to detect fraud, prevent abuse, and understand user behaviour by analysing signals from devices, browsers, and networks, helping businesses make real-time trust decisions online.

Authorized AI Agent Detection allows organisations to identify and verify authorised AI agents across an expanding ecosystem that includes platforms such as OpenAI, AWS AgentCore, Browserbase, Manus and Anchor Browser. The capability enables enterprises to differentiate trusted, permissioned automation from unauthorised bots, allowing controls to be applied based on identity rather than generic bot detection alone.

With this launch, Fingerprint says it now detects the highest number of AI agents on the market. The product gives organisations visibility into who—or what—is interacting with their digital properties, enabling them to selectively permit trusted AI agents while blocking malicious activity that could lead to fraud, account takeover, or data scraping.

The launch also aligns with emerging open standards for AI agent verification and authentication, with Fingerprint participating in industry efforts to establish consistent approaches to agent identity and trust on the web.

The product is designed to support a range of real-world use cases across enterprise automation, workforce automation, and revenue protection. These include allowing AI agents to access permissioned environments such as data platforms or CRM systems, automating customer support and operational workflows, and enabling agent-driven commerce while maintaining strong defences against fraud.

Fingerprint CTO and co-founder Valentin Vasilyev said, “For years, the goal was simply to stop the bots, but that’s a losing strategy as an increasing number of interactions are becoming automated. The real challenge now is determining whether traffic is legitimate. We built this ecosystem so businesses can stop blindly blocking visitors. Instead, they can now start identifying every visitor, whether they are a malicious bot, an authorized agent or a human. In the AI era, companies that are able to differentiate trusted visitors from suspicious ones will retain their competitive edge.”

Todd Thiemann, principal analyst at Omdia, said, “The rapid growth of agentic AI is forcing a fundamental rethink of how identity and trust are established on the web. By the end of 2026, I expect users to start relying on AI agents to carry out transactions on their behalf, from booking flights to making everyday online purchases.”

Manus co-founder and CPO Tao Zhang said, “As AI agents see broader adoption, it’s increasingly important to clearly distinguish trusted automation from malicious activity. We’re pleased to participate in this ecosystem and support efforts to make agent interactions more transparent, secure, and reliable.”

Thibault Meunier, research engineer at Cloudflare and creator of Web Bot Auth, said, “Open Internet protocols mature through real-world deployment. Operating them at scale is how we validate assumptions, surface edge cases and improve the standard. Cloudflare welcomes Fingerprint’s implementation of AI agent verification and its participation in the IETF (Internet Engineering Task Force) standardization process, which helps accelerate practical outcomes for the ecosystem.”

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