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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Our comprehensive solution facilitates your global growth by effectively classifying and analyzing identification documents. Combat fraudulent activities with our advanced, multilayer AI-driven forensic toolkit. Access in-depth reports detailing the nature of any identified forgery via our analytics dashboard. Ensure that only users whose facial features align with those on the submitted ID are allowed onboard. Our system is capable of locating and matching a face within a database of a million faces, achieving an impressive accuracy rate of 99.2%. With our passive liveness detection technology, your clients won’t have to take any additional actions in front of the camera. We utilize four distinct analytical methods to examine documents from various angles, empowering your fraud prevention team to detect a wide array of document fraud. Accelerate the document verification process from hours down to mere seconds while gaining actionable insights to assess the risk levels of new clients. Additionally, maintain oversight effortlessly through a straightforward and user-friendly dashboard that keeps all activities in check. This innovative approach ensures a seamless experience for both your team and your clients, enhancing security and efficiency in every transaction.

Description

We are a cybersecurity firm that focuses on preventing fraud and safeguarding identities. Our goal is to facilitate secure digital interactions seamlessly for both individuals and organizations as they undergo digital transformation. We utilize various technologies for recognizing individuals by analyzing their unique physiological and behavioral traits. After capturing this data, our system identifies a distinct pattern for every person, which will serve as a reference for future comparisons. We also conduct transactional analyses of user behavior and implement channels specifically designed for detecting and preventing fraud. Our approach includes a secure and rapid exchange of sensitive information, referencing an encrypted data vault. Additionally, we offer a comprehensive multi-channel fraud prevention system that leverages machine learning to develop intelligent profiles, enabling us to identify potentially fraudulent activities based on observed user behavior, ensuring a robust defense against cyber threats. By continuously adapting to new data, we enhance our ability to protect against emerging fraud tactics.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft 365
PostgreSQL
SQL Server

Integrations

Microsoft 365
PostgreSQL
SQL Server

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Sensity

Website

sensity.ai/

Vendor Details

Company Name

VU Security

Founded

2007

Country

Argentina

Website

www.vusecurity.com/en/soluciones#prevencion

Product Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Product Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Alternatives

Alternatives

Udentify Reviews

Udentify

Fraud.com