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features
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support

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Description

Enforcement offers a robust defense that deters fraudsters from conducting attacks in the first place. Arkose Labs employs a cutting-edge method of step-up authentication that introduces varying levels of risk-based friction, thereby exhausting the resources of fraudsters while providing genuine customers with an enjoyable means to validate their identity. This enforcement mechanism operates as a challenge-response system, working seamlessly with Telemetry to verify requests that are unfamiliar. As a result, only authentic interactions are forwarded to the enterprise, ensuring that digital businesses can confidently engage with true customers. Arkose Labs’ strategy effectively transfers the focus of potential attacks from the business itself to their own platform, thereby enhancing security. By rerouting dubious sessions to an independent verification platform, a protective barrier is established between fraudsters and their usual targets, transforming the landscape of attack strategies. Consequently, businesses can conserve their valuable resources and efforts, no longer needing to address the fallout from attacks. This innovative approach not only safeguards transactions but also reshapes industry standards for online security.

Description

In-app bot fraud is increasingly jeopardizing your business, with the mobile ecosystem grappling with rampant automated bots that inflict significant damage on applications. Various types of apps are vulnerable to having their entire user experience commandeered for deceptive objectives; for instance, gaming applications can see their in-game economies destabilized, while e-commerce platforms may face severe breaches of financial data. The evolution of bots has led to the emergence of highly sophisticated variants capable of mimicking genuine user behavior with remarkable precision, enabling them to bypass conventional detection techniques. Armed with these advanced bots, fraudsters can disrupt user experiences and negatively impact retention through automated gameplay, account hijacking, credit card fraud, spam, and other abusive practices. In response to this growing threat, Unbotify has developed the first patented machine learning solution designed to distinguish between authentic users and bots. Our state-of-the-art technology leverages an in-depth comprehension of human behavior patterns to effectively identify and eliminate sophisticated bot fraud that might otherwise evade notice, all while maintaining an impressively low false-positive rate. This innovative approach not only protects app integrity but also enhances user trust and engagement.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Anti-Captcha Yes 
Arkose MatchKey Yes 
Beaver Builder No 

Integrations

Anti-Captcha No 
Arkose MatchKey No 
Beaver Builder Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Arkose Labs

Founded

2008

Country

United States

Website

www.arkoselabs.com

Vendor Details

Company Name

Adjust

Founded

2012

Country

Germany

Website

www.adjust.com/product/unbotify/

Product Features

Cybersecurity

AI / Machine Learning Yes 
Behavioral Analytics Yes 
Endpoint Management Yes 
IOC Verification Yes 
Incident Management Yes 
Tokenization Yes 
Vulnerability Scanning Yes 
Whitelisting / Blacklisting Yes 

Product Features

Alternatives

Alternatives

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