Know which AI agents are on your site, and decide what each one is allowed to do.
The question that matters now is whether this agent is authorized to do what it is trying to do.
Your customers are sending personal AI agents like Muse to log in, shop and check out for them, and most of those agents never say what they are. Blocking every agent turns away customers who chose to buy through one. Letting them all through exposes you to fraud you cannot measure. Bot defenses built to ask "is this a bot?" cannot tell a shopping assistant from a credential-stuffing run, because both are automated.
The question that matters now is whether this agent is authorized to do what it is trying to do, and you cannot answer it for traffic you cannot see.
Arkose Agent Trust Manager, part of Arkose Titan, identifies and classifies the AI agents on your login, signup and checkout flows, including agents that never announce themselves. You set the policy for what each population can do, and Arkose Titan applies it while the interaction happens.
Arkose Agent Trust Manager is how Arkose Titan sees and controls AI agent traffic. It resolves each agent session into one of three populations: self-disclosing good agents, non-disclosing good agents acting for real customers (such as Muse), and malicious agents built to look like either. It then reads intent on top, so the same agent gets a different answer when it compares prices than when it tests credentials.
In Arkose Command Center you set rules by population and endpoint, and see who is on each key: the most active agents, per-agent detail, verified sessions and the split across the three populations.
With Journeys, orchestration applies that policy at each step of your customer journey: let agents browse, monitor them at login, and block them at checkout. Arkose Agent Trust Manager is delivered through Arkose Titan.
See which agents are on your login, signup and checkout flows, how much traffic each drives, which population each belongs to, and which are verified, before you set a single rule.
Set rules by agent population and endpoint in Command Center, or step by step with Journeys. Allow the agents that grow revenue and block the ones that put it at risk.
Classification reads intent, so a price-checking agent is treated differently from one probing account recovery.
Device ID carries an agent's identity from one session to the next, so policy can reflect history, not only the current request.
Arkose Agent Trust Manager runs on the signal stack already protecting your login, signup and checkout. Arkose Titan reads device, network, behavioral, email and challenge signals together, so a decision reflects who or what is there, what it is trying to do, and how risky the session is.
Most teams start by seeing which agents are on their site, then set policy for each. Arkose Agent Trust Manager gives you the visibility first and the rules to act on it, so you can serve customers who choose to shop through an agent without opening the door to fraud.
The Arkose Agent Trust Manager dashboard in Command Center shows the most active agents on each key, a per-agent panel, a count of verified sessions, and a population view that shows how agent traffic splits across the three groups.
Orchestration lets you set allow, monitor, or block policy by population and endpoint, and at each step of the customer journey with Journeys. For example, let agents browse and check balances, monitor them at login, and block them at checkout or account changes. Agents that identify themselves, for example through Web Bot Auth, can be verified and let through.
Arkose Titan applies your policy while the interaction is happening.
The Arkose Labs proof of value (POV) process offers your business a hands-on opportunity to experience the platform's capabilities. During the guided 7-day POV with production traffic, Arkose Labs provides expert guidance and consultation tailored to your specific needs, ensuring you can test the platform's effectiveness in real-world scenarios. The proof of value starts with two lines of script in the page head, with no backend work and nothing shown to visitors. After a few days, Arkose Labs shares which agents visited, how often, and their share of traffic. This process allows your business to define and track its own success metrics, such as agent traffic recognized, revenue protected or fraud reduced, giving you a clear view of the value Arkose Agent Trust Manager can deliver.
Arkose Agent Trust Manager reads the signals Arkose Titan already collects from your protected flows, so customers on Arkose Titan do not add a new integration to see their agent traffic. If you use a CDN such as Cloudflare or Akamai, our pre-built CDN workers let you deploy without code changes to your application.
Arkose Labs operates as an extension of your team, rapidly countering attacks and providing actionable insights without overburdening your internal resources. The Arkose Cyber Threat Intelligence Research (ACTIR) unit conducts proactive threat hunting, risk intelligence gathering and other counterintelligence methods to provide vital, fresh intelligence. Meanwhile, the 24/7/365 Security Operations Center (SOC) team focuses on identifying and immediately stopping both sophisticated low-and-slow attacks and large-scale attacks. The SOC continuously monitors for new threats and collaborates with ACTIR, which improves the accuracy and timeliness of your defense.
Book an Arkose Titan demo and we will map agent trust and orchestration to your real endpoints in a guided 7-day proof of value.
Product brief: how Arkose Agent Trust Manager, part of Arkose Titan, classifies AI agents on login, signup and checkout and applies your policy to each.
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Your customers are sending personal AI agents like Muse to log in, shop and check out for them, and most of those agents never say what they are. Blocking every agent turns away customers who chose to buy through one. Letting them all through exposes you to fraud you cannot measure. Bot defenses built to ask "is this a bot?" cannot tell a shopping assistant from a credential-stuffing run, because both are automated.
The question that matters now is whether this agent is authorized to do what it is trying to do, and you cannot answer it for traffic you cannot see.
Arkose Agent Trust Manager, part of Arkose Titan, identifies and classifies the AI agents on your login, signup and checkout flows, including agents that never announce themselves. You set the policy for what each population can do, and Arkose Titan applies it while the interaction happens.
Arkose Agent Trust Manager is how Arkose Titan sees and controls AI agent traffic. It resolves each agent session into one of three populations: self-disclosing good agents, non-disclosing good agents acting for real customers (such as Muse), and malicious agents built to look like either. It then reads intent on top, so the same agent gets a different answer when it compares prices than when it tests credentials.
In Arkose Command Center you set rules by population and endpoint, and see who is on each key: the most active agents, per-agent detail, verified sessions and the split across the three populations.
With Journeys, orchestration applies that policy at each step of your customer journey: let agents browse, monitor them at login, and block them at checkout. Arkose Agent Trust Manager is delivered through Arkose Titan.
Decide which AI agents to trust. Stop the fraud that costs you money.
