OneLogin Adaptive Authentication uses machine learning, which analyzes a broad range of inputs, to calculate risk scores and determine the most appropriate security action.
Static rules do not provide the optimal balance between usability and security. For example, being on the corporate Wi-Fi does not necessarily mean that a user login is safe. Conversely, a remote worker at their home office can be perfectly trusted as confidence is built about the user’s location and behavior on that device. OneLogin’s machine learning tracks user behavior over locations and devices and builds a behavior profile against which authentication decisions can be risk scored in real time and used to trigger multi-factor authentication.
I ♥ OneLogin because it allows me to enforce two-factor authentication on pretty much any application.
Head of IT, Pinterest
For users without smartphones, one-time passwords sent over SMS can provide an additional authentication factor. It can be used as an additional layer of security for self-service password reset: instead of contacting the corporate helpdesk, users can use a one-time password sent to their phone to authenticate identity and reset their password via OneLogin's web interface.
As a non-technical alternative to SMS and email, security questions can be used as an additional authentication factor for sign-in and password reset. OneLogin comes with dozens of standard questions that are available in all 20+ languages supported.
Already using a two-factor authentication provider? OneLogin Adaptive Authentication integrates with a number of third-party authentication providers:
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