Behavioral Biometric Factors
The only way to remove human error from the MFA process is behavioral biometrics. Passwords can be stolen, tokens phished, but behaviors cannot.
How a user types, how they move a mouse, how they walk, how they pick their phone up - any one of these factors is not enough to confirm a user's identity. All of these factors combined create a unique & dynamic biometric that can identify a user with more than 99% accuracy.
Machine learning is a data analytics technique that teaches computers to learn from experience.
The passive biometric data is passed into a cloud-based machine learning system that builds a model of each user's behavior. Whenever a user passes an MFA challenge, each model continues to learn and adapt to changing behaviors. When the model is mature, Twosense can validate the user's identity and create a baseline of trust.
Twosense analyzes a variety of behaviors to learn who your users are, creating a unique profile for each user. Each time user passes an MFA check, Twosense becomes more confident that the user is who they claim to be. Users are scored based on how much their behaviors match. If high enough, they are authenticated with no challenge.
