FingerprintJS Inc., a pacesetter in device intelligence for fraud prevention, today announced the launch of a brand new ecosystem of signed artificial intelligence agents, enabling enterprises to differentiate between authorized agent AI traffic and malicious bots and scrapers.
“For years, the goal was simply to stop the bots, but that’s a losing strategy as an increasing variety of interactions have gotten automated,” said co-founder and Chief Executive Valentin Vasilyev.
For over a yr, the terms AI agent and agentic AI have develop into constant words throughout the enterprise space, used to explain frameworks that allow large language models to take step-by-step reasoning and execute complex tasks. Now, with firms comparable to Google LLC also bringing these tools into browsers, consumers may use these agents to permit their computers to buy them.
Fingerprint argues that modern-day firms are facing an ever-increasing threat, although some of these bots usually are not currently designed to commit fraud. Which will yet change in the longer term, in that they automate what humans do: Exit, glance through listings, discover things to purchase, put items in shopping carts after which execute purchases.
All of those automations mimic human behaviors on the net. Shopping is barely one example of automation, other agents already automate research, stock trading, filling in job applications and monitoring social media — and make comments directly.
“We built this ecosystem so businesses can stop blindly blocking visitors,” added Vasilyev. “As an alternative, they will now start identifying every visitor, whether or not they are a malicious bot, a certified agent or a human.”
Ideally, a business can allow through an automation that works for an individual, watch one which is unknown for potential suspicious behavior (and block it if it misbehaves) and mechanically block those already proven to have hostile signatures.
The corporate has already signed on ecosystem partners with OpenAI Group PBC, Amazon Web Services Inc.’s AgentCore, Browserbase Inc., and Manus, which was acquired by Meta Platforms Inc. in 2025. The ecosystem allows enterprises to detect authorized AI traffic with complete certainty.
“Open web protocols mature through real-world deployment,” said Thibault Meunier, research engineer at Cloudflare Inc. and creator of Web Bot Auth. “Operating them at scale is how we validate assumptions, surface edge cases and improve the usual.”
AI agents built on platforms comparable to Manus can access permissioned environments, comparable to PitchBook Data Inc., to research data without being flagged as malicious immediately. It also allows for identity control because AI agents have their very own identity and management control.
For instance, e-commerce and fintech leaders can now selectively permit transactions for agentic buyers, while maintaining audit trails and real-time anomaly detection of payment fraud.
The corporate said it’s platform already identifies greater than 1 billion unique devices every month and processes tons of of signals to assist fraud teams distinguish trusted visitors from bad actors with speed at scale. Greater than 6,000 firms, including Dropbox Inc., Checkout Ltd. and Neuro-ID Inc. use the service to identity high-risk activity in real time to stop fraudulent activity and still deliver good experiences to users.
“This collaboration makes ‘agent identity’ a first-class concept on the net, so firms can confidently permit trusted agents while blocking the remainder,” said Browserbase founder and CEO Paul Klein.
Image: Pixabay
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