Fingerprint, a provider of device intelligence technology for fraud prevention, has launched Authorized AI Agent Detection, a new capability designed to help organisations identify and manage agentic AI traffic across digital environments.
The launch comes as AI agents account for a growing share of automated web traffic, creating challenges for enterprises that have historically relied on blanket bot-blocking strategies. These approaches often disrupt legitimate automation while still leaving organisations exposed to fraud, abuse and unauthorised scraping.
Fingerprint provides device intelligence and visitor identification technology that enables businesses to distinguish between humans, trusted automation and malicious actors. Its platform is widely used across industries such as FinTech and e-commerce to support fraud prevention, revenue protection and secure digital interactions.
The new Authorized AI Agent Detection product allows organisations to identify authorised agentic AI traffic with 100% certainty. By recognising permissioned AI agents from platforms including OpenAI, AWS AgentCore, Browserbase, Manus and Anchor Browser, the solution enables enterprises to differentiate trusted automation from malicious bots and scrapers.
With this launch, Fingerprint says it now detects the highest number of AI agents available on the market. Customers gain visibility into whether an AI agent interacting with their digital properties is authorised, allowing them to apply controls based on identity rather than relying solely on traditional bot detection methods.
The product also aligns with emerging open standards for AI agent verification and authentication. Fingerprint’s implementation supports real-world use cases such as enterprise automation, workforce automation and revenue protection, enabling AI agents to operate within permissioned environments while maintaining safeguards against account takeover and payment fraud.
Additional industry support has come from organisations involved in standards development, including Cloudflare and the Internet Engineering Task Force, highlighting the role of real-world deployment in advancing AI agent verification frameworks.
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.”
Omdia principal analyst Todd Thiemann 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.”
Browserbase CEO and founder Paul Klein said, “Businesses want the upside of AI agents, faster support, automated operations, and smoother buying experiences but they can’t afford to open the door to scrapers and fraud. This collaboration makes ‘agent identity’ a first-class concept on the web, so companies can confidently permit trusted agents while blocking the rest.”
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