What if you could improve your daily productivity by knowing your mood hour-by-hour?
With the launch of TypingDNA Focus BETA, you’re now able to see how your mood changes throughout the day, leverage those insights for better focus, and improve your productivity.
While this is still an experiment, we’ve been able to train unique deep learning models to predict several moods with very good accuracy. You’ll discover when you’re most focused, tired, stressed, happy, energetic, and calm.
We’re excited to announce the release of a free, unlimited Developer plan and updates to the Authentication API. A new one-call API significantly eases the integration process without sacrificing functionality.
TypingDNA’s typing biometrics Authentication API now works with Microsoft Azure Active Directory (Azure AD) B2C to ensure seamless authentication. TypingDNA’s proprietary AI technology recognizes people by the way they type on their keyboards and will enable Azure AD B2C customers to have comprehensive and robust protection against sophisticated threats such as password spray and brute force attacks.
No matter the industry, identity fraud and account takeover can translate into a ruined business. Companies can implement security measures even during account opening with sound identity verification proofing technologies.
The European Banking Authority clarifies on what constitutes a compliant element in each of the three possible categories of multi-factor authentication: inherence, possession, and knowledge. EBA approves typing biometrics as compliant to be used in multi-factor authentication.
The adoption of automated authentication measures is a more accessible way to validate participants’ identities in online learning. We take a quick look into what are the main differences between existing methods.
Typing biometrics offer several advantages over other forms of behavioral biometrics. For example, typing biometrics can’t be easily spoofed and there’s no special hardware required. This makes typing biometrics ideal.