SaaS authentication refers to account protection of applications where providers can opt for various account security measures like Single Sign On (SSO), Security Assertion Markup Language (SAML) coupled with 2FA/MFA flows, identity governance, and administration (IGA) solutions to enhance security and avoid account takeover.
Factors in a 2FA solution have drastically evolved since the mid-’90s. As we know it in 2021, account protection has developed due to increased attention from security departments over the past years. More sophisticated attacks on business and consumer accounts have led to increased demands for better security policies.
SMS two-factor authentication (2FA) is an additional security method that uses SMS one-time passwords (OTP) or codes that are delivered via text message. When trying to log into their accounts, users are prompted to enter an OTP delivered via SMS (short message service or a text message) in specially designed pages or fields to verify a transaction or login.
Building compelling products has never been more challenging, especially with product managers getting busy understanding how to reduce customer churn. Expectations towards user-friendly products are rising, especially as the first digitally native generation becomes the largest population online.
This article will teach you how to use TypingDNA to implement Multi and 2FA-Factor Authentication in a Laravel Project giving your application an extra method of authentication — making it more difficult for cyber criminals to impersonate your users.
Users keen on improving their KPH (keystrokes per hour) rates through practice can now also gain new insights to help uncover analytics about focus and mental well-being.
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.
Typing patterns are the digital representation of a person’s unique typing behavior, similar to physical biometrics such as fingerprint recognition, facial recognition, and iris scanning.
This article focuses on implementing biometric two-factor authentication (2FA) and risk-based authentication (RBA) in a cryptocurrency wallet built with Python and Flask using the TypingDNA Authentication API.