INDUSTRY
Your customers are sending AI agents to sign up, log in and use your product, and most don't announce themselves. Arkose Titan identifies each one, classifies it, and applies the policy you set at every step: allow, monitor or block. The same policy stops fake accounts, account takeover and abuse at the point of entry, whoever is behind them.
Book a DemoAgents already create accounts, claim free trials, log in and interact with your customer support and billing flows. Block them all and you turn away customers; allow them all and you open the door to fake accounts, account takeover and abuse on a valid session. Arkose Titan identifies and sorts each agent into 1 of 3 groups:
Agents that sign their requests with Web Bot Auth and whose signature is attested. You decide where to let them in.
Agents that act for real customers but stay quiet so they aren't blocked. Arkose Titan detects them by the device, compute and network behind the session, so you don't turn away customers.
Agents used for fake account creation, credential stuffing, free-trial abuse and other abuse. They arrive from the same residential IPs as your customers' own agents. Block them or hold them to a stricter policy.
With Arkose Titan, you set the policy for each flow, and you can start in "monitor" mode to see the traffic before you enforce anything. Let agents browse, read your help content and use the product on a customer's behalf. Point agents that are using your website like a person to the path you built for them, such as your API. Block agents from creating accounts at volume, changing credentials or working credits and cancellations on their own. For actions like these, Arkose Labs is working on proof of human, where the person behind the agent confirms they're there before the action completes. We'll announce availability when it's ready.
Your customers' agents are here now. They sign up, log in and use your product on someone's behalf, on valid sessions and from the same home IPs as the people they work for. They never get tired: the free trial, the courtesy credit, the cancellation flow built on the assumption that people give up are now worked by something that doesn't.
The old question, human or bot, doesn't answer the new one: whose agent is this and what should it be allowed to do? When an agent signs up or acts for a customer, accountability can be unclear, and you need to be able to show which agents are on your platform and what they are allowed to do.
Arkose Titan sees every session, applies your policy and stops fraud across sign-up, login, free trials, subscription and billing changes, support and your APIs.
Device, compute, network, behavior and identity signals identify every visitor as a customer, an AI agent or an adversary, even when the agent doesn't announce itself. Every agent session is classified as self-disclosing good, non-disclosing good or malicious.
Lay out your customer journey (such as sign-up, login, trial, upgrade, cancellation) and set allow, monitor or block for each step, by agent and by population. Start in monitor to see what a policy would stop. When your policy blocks a known agent, it gets a clear message in your brand and a pointer to the path you do support.
Arkose Titan applies the policy while the interaction happens. Fake accounts, account takeover, API abuse, scraping and SMS toll fraud are stopped at the point of entry, and proof-of-work makes automation at scale too expensive to continue, while your customers and their agents pass without friction.
reduction in fraud and abuse and 33% better good-customer throughput across 100+ languages for Microsoft Outlook.com.
Read more →more fraudulent accounts detected and 80% lower challenge rate for Adobe, with fewer trusted users challenged.
Read more →lower intervention rate for legitimate customers at Dropbox, with stronger defense against account takeover and fake sign-ups.
Read more →It ultimately comes down to money and how much they can get out of an attack. We recognized that the cost of circumventing the Arkose Labs solution was prohibitively high, whereas the cost-benefit analysis was in the fraudsters' favor for alternative fraud controls.
Identity Lead, Microsoft
AI agents fall into 3 groups: self-disclosing good agents, non-disclosing good agents (personal agents such as Muse are an example) and malicious agents. Most don't identify themselves, so detection has to rely on what an agent does and the environment it runs in, not on what it says. Arkose Titan sorts agents into these groups and applies your policy for each flow.
Some platforms do today, then reopen read-only steps. Most want agents to browse, read help content and use the product for a customer, and block them from creating accounts at volume, changing credentials or working credits and cancellations on their own. Arkose Titan lets platforms set that policy by flow, so they don't have to choose between turning away customers and letting every agent through.
The question is unresolved, and this isn't legal advice. Agents are generally treated as tools of the customer, so accountability tends to sit with the customer and the platform's terms of service. Platforms can record which agents were on their service and what each was allowed to do. Arkose Titan identifies each agent and applies your policy.
Technology platforms sit upstream in the internet ecosystem, which makes them valuable to attackers. Fake accounts on cloud platforms and collaboration tools provide cover, compute and communication infrastructure for fraud campaigns against banks and retailers. Compromised accounts with API access expose sensitive data and stored credentials, and free-tier compute and API credits can be claimed at scale.
Fake accounts give attackers a base for spam, phishing, free compute tiers, promotional API credits they use and abandon before detection and account inventory that cybercrime-as-a-service operations sell to others. Because technology accounts often come with API access and compute, each fake account carries higher downstream risk than one on a platform without those capabilities.
API abuse includes credential testing against authentication endpoints, enumeration of user or data objects, high-volume scraping of proprietary data and unauthorized access to developer tools or cloud resources. It often bypasses bot detection built for web sessions. Protection needs the same device intelligence and behavioral analysis applied to API calls as to browser sessions.
Let your customers' agents sign up, log in and use your product. Decide what happens before an account is created, credentials change or a credit goes out. The fraud that costs you money, including fake accounts, account takeover, abuse and SMS toll fraud, stops at the same point of entry.
Decide which AI agents to trust. Stop the fraud that costs you money.
