AL Fraud prevention

Arkose Labs

Arkose Labs provides bot detection and challenge-based fraud prevention that can run inside your Zenoo onboarding flows.

At a glance

Overview

Arkose Labs overview

Arkose Labs is a bot detection and fraud prevention platform that uses adaptive challenges to stop automated attacks. It is used by large consumer platforms and is positioned for credential stuffing and fake account prevention at enterprise scale. Through Zenoo it can run inside your onboarding flows with fallback routing and a shared audit trail across providers.

Company
Arkose Labs
Category
Fraud prevention
Strongest in
Bot detection and credential-stuffing defence
Best fit
Enterprise teams defending against fake accounts

Where it is strongest

Key strengths

What Arkose Labs does well.

01

Bot and credential-stuffing defence

Industry analysis positions Arkose as strong against credential stuffing and fake account creation, adding a fraud signal ahead of identity checks.

02

Adaptive challenge variety

The platform offers a large library of challenge variants designed to resist automated solving, which can raise the cost of scaled attacks.

03

Enterprise adoption

Used by several large consumer platforms, indicating it can operate at high volume.

Who it suits

Best for

Where Arkose Labs fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • Enterprise teams prioritising bot and fake account defence where some user friction is acceptable
Considerations
  • Challenge friction for users. Some reports note that challenges can add friction and occasionally frustrate genuine users, which matters for conversion-sensitive onboarding. In a Zenoo flow you can apply Arkose selectively to higher-risk segments and keep the low-risk path lighter.
  • Pricing and terms best confirmed. Public pricing is limited and typically quote-based. Confirm the model up front, and use Zenoo's one-contract approach to keep commercial terms in one place across providers.
You

Open the customer's case

What your team sees

The Arkose Labs result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
Arkose LabsRecorded
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.