Typing AI Biometrics records the keystroke timing data and creates a model. Applies learning algorithms to differentiate between a valid user and an intruder. Biometrics based on “who” is the person or “how” the person behaves, present a significant security advancement to meet new challenges of security.
The most promising approach has been Keystroke Biometrics which refers to the habitual patterns or rhythms an individual exhibits while typing on a keyboard input device. Compared to other biometric schemas, keystroke has the primary advantages that:
- No external hardware like scanner or detector is needed. All that is wanted is a keyboard.
- The rhythm or the pattern of the users is a very reliable statistic.
- It can easily be deployed in conjunction with existing authentication systems.
Typing AI is a secure typing biometrics authentication API that identifies users by the way they type. The detection accuracy level is very high and there are almost no false positives.
This project uses artificial intelligence in order to detect the typing pattern. A unique typing ID is generated for each user. There are lots of peoples who tested the API and the accuracy level is over 99.9%.
Typing AI Biometrics provides enterprise grade security. TypingAI can be easily integrated in web, desktop and mobile apps using any programming language.
You can find more details on the Typing AI website.
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