TypingDNA's AI Identifies People by How They Type
Grace Mahas — January 6, 2020 — Tech
References: typingdna & venturebeat
TypingDNA was founded by Adrian Gheara, Cristian Tamas, and Raul Popa and boasts a unique AI program that can identify people by the way they type. The software was created to provide typing biometrics authentication for companies to recognize users by the way they type as an additional, non-intrusive layer of security for online accounts.
The cutting-edge technology company recently raised $7 million in series A funding led by Gradient Ventures, Google’s AI-focused venture fund that will be used to integrate its service with web development tools. Raul Popa stated: "Advancing the research and distribution of typing biometrics is of global importance. Keyboards are incorporated [into] almost any device today, making typing behavior the most widely available user biometric. This round of funding will allow us to further our mission to provide user-friendly, non-intrusive biometrics and increased security to people around the world.”
Image Credit: TypingDNA
The cutting-edge technology company recently raised $7 million in series A funding led by Gradient Ventures, Google’s AI-focused venture fund that will be used to integrate its service with web development tools. Raul Popa stated: "Advancing the research and distribution of typing biometrics is of global importance. Keyboards are incorporated [into] almost any device today, making typing behavior the most widely available user biometric. This round of funding will allow us to further our mission to provide user-friendly, non-intrusive biometrics and increased security to people around the world.”
Image Credit: TypingDNA
Trend Themes
1. Typing Biometric Authentication - Using AI to identify individuals based on their unique typing patterns, providing an additional layer of security for online accounts.
2. Web Development Integration - Integrating typing biometric authentication technology into web development tools for easier implementation and widespread adoption.
3. User-friendly Biometrics - Advancing non-intrusive biometric authentication methods that are easily accessible and convenient for users worldwide.
Industry Implications
1. Cybersecurity - Implementing typing biometric authentication software as a secure and reliable method to protect online accounts from unauthorized access.
2. Technology - Incorporating typing biometric authentication technology into various digital devices and platforms to enhance user authentication and data security.
3. Web Development - Integrating typing biometric authentication into web development tools to provide developers with an easy and efficient way to implement biometric security measures in their applications.
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