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What is Ver-ID?

Ver-ID Credentials streamlines the process of online identity verification by comparing a user's selfie with a government-issued photo ID. It supports various forms of laminated identification, such as driver's licenses and biometric passports, making it ideal for applications that demand a higher level of security. As a result, reliance on expensive and potentially insecure third-party identity verification services is swiftly decreasing. This solution seamlessly integrates identity verification into numerous digital business workflows. For mobile applications, users can ascertain the validity of their identity score directly on their devices, which significantly boosts security and preserves user privacy. This mechanism mitigates the risks associated with transferring and storing user images, keeping them only when absolutely necessary for operational needs. Unlike conventional Identity-as-a-Service solutions that frequently rely on additional biometric components, which can result in elevated false acceptance rates or require manual verification, Ver-ID Credentials utilizes ARI’s advanced face recognition and liveness detection technology. This robust foundation guarantees dependable performance across a wide range of applications, providing businesses with a powerful tool for verifying identities. Moreover, this modern method enhances user trust and confidence in the verification process, ultimately fostering a more secure digital environment. By prioritizing both functionality and user experience, Ver-ID Credentials positions itself as a leader in the identity verification landscape.

What is 3DiVi Biometric Anti-Fraud (BAF)?

3DiVi’s Biometric Anti-Fraud (BAF) technology is a robust AI-driven computer vision platform specializing in secure online identity verification with industry-leading NIST FRVT-validated face biometrics. It combines advanced face recognition with comprehensive liveness detection and session analysis to prevent identity fraud during remote customer onboarding and eKYC processes. The platform supports seamless integration across iOS, Android, and web environments using SDKs tailored for browsers and mobile apps. Its zero-trust architecture guarantees that every user session is uniquely identified, thwarting attempts by fraudsters to reuse session data or spoof identities. The sophisticated liveness detection algorithms effectively defend against various attack vectors, including printed face images, masks, and video replays, ensuring genuine user presence. The technology scales efficiently to accommodate varying load demands and performance scenarios. Integration is straightforward via simple APIs, enabling fast deployment into existing information systems. For organizations prioritizing data privacy, the solution offers an on-premise deployment option that keeps all biometric data within customer control without external data transmission. 3DiVi BAF is ideal for banks, financial institutions, access control systems, and any service requiring high-assurance digital identity verification. Overall, it delivers fast, reliable, and highly secure biometric anti-fraud capabilities to protect users and businesses alike.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Applied Recognition

Date Founded

2005

Company Location

Canada

Company Website

www.appliedrecognition.com/VerID_Credentials_SDK.html

Company Facts

Organization Name

3DiVi

Date Founded

2011

Company Location

United States

Company Website

3divi.ai/

Categories and Features

Categories and Features

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