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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

The adoption of facial recognition technology for authentication purposes is rapidly growing, particularly on mobile platforms. However, the combination of readily available images on social media and the advancements in both digital and print image quality has created vulnerabilities in biometric systems that can be exploited by malicious actors to deceive facial recognition software. These deceptive tactics, referred to as presentation attacks, encompass various methods such as using printed photographs, cutout masks, video replays, and 3D masks. Implementing liveness detection enhances security and improves the ability to identify fraudulent attempts. ID R&D's passive face liveness offers a notable advantage as it is not only secure but also user-friendly. Unlike other solutions that require additional steps and can be time-consuming, IDLive Face operates seamlessly, remaining unnoticed by users who are unaware that the liveness check is taking place. Moreover, the software does not provide any hints to potential fraudsters on how to bypass it. As a result of its intuitive design, passive liveness significantly minimizes user confusion, leading to lower abandonment rates and reduced need for human oversight. This streamlined approach ultimately contributes to a more efficient and secure user experience.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Anti-Captcha Yes 
Arkose MatchKey Yes 
ID R&D No 
IDLive Face Plus No 
IDVoice No 

Integrations

Anti-Captcha No 
Arkose MatchKey No 
ID R&D Yes 
IDLive Face Plus Yes 
IDVoice 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) No 
In Person No 

Vendor Details

Company Name

Arkose Labs

Founded

2008

Country

United States

Website

www.arkoselabs.com

Vendor Details

Company Name

ID R&D

Founded

2016

Country

United States

Website

www.idrnd.ai/passive-facial-liveness/

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 

Alternatives

Alternatives

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