More fraudulent accounts detected, along with an 80% reduction in challenge rate.
Read the Case Study →Arkose Titan blocks fraudulent registrations at sign-up — from bot-driven bulk sign-ups to AI-generated synthetic identities to human fraud farm operations — by making fake account creation economically unviable. Protect your platform from downstream fraud and abuse while real consumers and trusted AI agents onboard seamlessly.

AI agents have raised the stakes for fake account creation. The real challenge isn't detecting that an agent is present; it's determining agent intent. Is this a good agent acting on behalf of a legitimate customer, or an adversary abusing your registration flow?
Today's bots and malicious agents solve traditional CAPTCHA challenges and mimic human behavior at scale, so defenses that rely on distinguishing humans from machines are no longer enough. Every fake account that reaches your platform becomes infrastructure for downstream abuse. You need to know which agents to trust and set the rules for the rest.
Arkose Titan doesn't just flag suspicious sign-ups. It makes fake account creation campaigns economically unfeasible, while legitimate consumers and trusted agents sign up without interruption.
Real consumers sign up without friction, and you set the rules for which AI agents can register on their behalf.
Nearly 1,000 detection signals feed risk models that spot bulk registration patterns, device farm activity, synthetic email indicators and behavioral anomalies.
Proof-of-Work tasks and AI-resistant challenges make each fake sign-up attempt significantly more expensive. When the cost of attacking exceeds the reward, fake account operations collapse.
True/false API results and rich session data allow for immediate action as attack patterns evolve, so defenses keep pace with attacker innovation.
We were looking to prove value in the detection of critical risk while also reducing the number of fake accounts on our platform. With Arkose Labs, we were actually able to achieve both of those goals.
New account fraud happens when fraudsters use stolen or synthetic identities to create fake accounts for fraudulent activity, such as opening unauthorized credit lines or abusing sign-up bonuses.
Fraudsters carry it out with bots that automate sign-ups at scale, malicious AI agents that mimic human registration behavior or human-run fraud farms that create accounts manually to evade automated detection.
Arkose Titan combines signals such as device identification, email risk and behavioral data with dynamic challenges and invisible Proof-of-Work, making both automated and manual fake account creation too costly to run at scale.
The strongest solutions combine multiple signal types, such as device, email and behavioral data, with adaptive enforcement rather than a single static check. Arkose Titan applies this by making each fraudulent attempt more expensive than it's worth.
Yes. Malicious AI agents can complete registration forms and mimic human sign-up behavior at scale, while other agents register on behalf of real customers. Arkose Titan identifies AI agents at sign-up so you can decide which to allow and which to block.
Defend against bot-driven bulk sign-ups, malicious AI agents, synthetic identities and human fraud farm operations across every registration workflow.
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