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What is TypingDNA?

A groundbreaking and intuitive method for authentication has emerged, designed to replace SMS two-factor authentication codes, leading to a notable reduction in costs. This approach bolsters user account security by utilizing sophisticated analysis of typing biometrics, functioning accurately and without intrusion. Accessible on any platform where typing occurs, it features a versatile API that enables simple low-code integration. TypingDNA records typing biometrics data, or keystroke dynamics, which encompasses the timing and length of various keystrokes. Each user, upon registration, establishes their unique typing patterns, forming a baseline of their typing behaviors. Following this initial setup, the system continuously monitors and evaluates new typing patterns to validate a user's identity based on their typing biometrics. This streamlined Strong Customer Authentication (SCA) through keystroke dynamics not only guarantees an excellent user experience but also adheres to PSD2 regulations and receives approval from the EBA. By tapping into typing behavior, this technology delivers robust security alongside an outstanding user experience at an unparalleled value. Furthermore, this methodology maintains the integrity of evaluations while fostering a more user-friendly experience molded by the distinct ways that individuals type, promoting both security and usability in equal measure.

What is 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

Digitail
Fraud.net
Quickwork

Integrations Supported

Digitail
Fraud.net
Quickwork

API Availability

Has API

API Availability

Has API

Pricing Information

$ 0.2 per user per month
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

TypingDNA

Date Founded

2016

Company Location

United States

Company Website

www.typingdna.com

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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