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What is VU Security?

We are a cybersecurity company dedicated to thwarting fraud and protecting identities in the digital realm. Our mission is to ensure that both individuals and businesses can engage in secure online interactions effortlessly as they navigate their digital transformations. We deploy a range of technologies to identify individuals by examining their distinct physiological and behavioral characteristics. Once this data is collected, our system establishes a unique pattern for each individual, which acts as a benchmark for future assessments. In addition, we perform transaction analyses of user behavior and create specialized channels aimed at fraud detection and prevention. Our methodology emphasizes the secure and swift exchange of sensitive data, utilizing an encrypted data vault as a reference point. Furthermore, we provide an extensive multi-channel fraud prevention framework that employs machine learning to create intelligent profiles, allowing us to detect potentially fraudulent activities based on user behavior patterns. This proactive stance ensures we maintain a strong defense against cyber threats, and by consistently adapting to new information, we significantly bolster our capacity to combat evolving fraud strategies. Ultimately, our commitment to innovation and vigilance positions us as a leader in the fight against cybercrime.

What is Baidu AI Cloud Face Recognition?

The system features advanced capabilities such as facial recognition, attribute evaluation, face matching, and liveness checks, which enable its application across multiple fields, including finance, personal identification security, and retail settings. It effectively meets key business requirements such as verifying identities, tracking attendance, and controlling access. With its rapid face detection abilities, it quickly identifies the position of detected faces. Furthermore, it accurately assesses a variety of attribute data and provides the coordinates of 150 key facial points. This sophisticated technology can extract distinct facial traits, allowing for direct comparisons between two faces and generating a similarity score that aids in confirming whether they are of the same person. It also validates crucial data such as names, identity card numbers, and facial imagery against a verified database to ensure accurate identity confirmation. Operating offline, the system performs face detection, tracking, and data gathering tasks, while also facilitating liveness detection and capturing high-quality images of faces. Its adaptability and multifunctionality make it suitable for a range of applications, significantly bolstering security and improving the user experience in diverse industries. This widespread applicability underscores its importance in enhancing safety measures and operational efficiency across various sectors.

Media

Media

Integrations Supported

Microsoft 365
PostgreSQL
SQL Server

Integrations Supported

Microsoft 365
PostgreSQL
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

VU Security

Date Founded

2007

Company Location

Argentina

Company Website

www.vusecurity.com/en/soluciones#prevencion

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

intl.cloud.baidu.com/product/face.html

Categories and 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

Categories and Features

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