ARKOSE AGENT TRUST MANAGER · PART OF ARKOSE TITAN
Know which agents
are shopping with you.
Your customers are starting to shop through AI agents that will never announce themselves. Agent Trust Manager shows you every one of them, which agent it is, which of your flows it's reaching, and whether it's working for a customer or against one. Built on Arkose Titan, so it runs on the signal stack already protecting your login, signup, and checkout.
What seeing it is worth
Sales you're currently refusing
An agent blocked at checkout is a customer who didn't buy. It never appears in a fraud report, because nothing happened. The session just ended. Seeing the traffic turns that into a number you can act on.
A channel you can plan for
How much of your traffic is agentic, which agents are sending it, and which flows they reach. Agentic commerce becomes something you forecast rather than something that happens to you.
A decision you can defend
Classification tells you whether an agent is working for your customer or against them. Opening up to agentic traffic stops being a leap of faith and becomes a call you can back with data.
Three things happen on every session, in order.
Classify
Multi-signal evaluation across device, network, behavioral biometrics, email, and challenge response. Resolves traffic into the classes that matter, then reads intent on top: the same agent gets a different answer if it's comparing prices than if it's testing credentials.
Enforce
A spectrum, not a switch. Allow, monitor, challenge, throttle, block. Each session gets the response that keeps friction off the customers and agents you want, and puts cost on the ones you don't.
Control
Your policy, by endpoint and by use case, set and changed by you. Continuous assessment reclassifies a session when its behavior drifts from what it started out doing.
Every agent on your platform, grouped by who sent it and what it's doing.
Titan is the platform behind everything Arkose Labs does: device intelligence, behavioral biometrics, network signals, and adaptive challenge telemetry, running at the same login, signup, and checkout endpoints you already protect. Agent Trust Manager is the layer on top that turns those signals into agent answers.
It matters which platform sits underneath. A single signal source can tell you something automated is present. Telling you what it's doing, and whether that's fine, takes device, behavioral, and challenge signals read together. That breadth is what turns detection into classification.
Make the attackers pay
Opening up to agentic commerce only works if the same door stays shut to the sessions trying to abuse it. The classification that recognises a customer's agent also recognises an attacker's, and makes it expensive: adaptive challenges a model can't solve, and compute costs that scale with how suspicious the session looks.
Invisible to the traffic you want. Unprofitable for the traffic you don't.
See Agent Trust Manager in Action
Book a POV with production traffic and measure your results: agent traffic composition, revenue enabled by legitimate agent traffic, and conversion lift against your own success metrics.
Book a Demo →