|◄ Multi-factor authentication|
|◄ Continuous authentication|
|◄ Requires no additional devices|
|◄ Requires no new login steps|
|◄ Normally invisible to users|
|◄ Adaptive and risk-based|
|◄ Behavioral factors|
|◄ Difficult to overcome via theft|
|◄ Mobile step-up capability|
|◄ Easy corporate deployment|
|◄ Affordable for most companies|
Disclaimer: The data shown above represents the opinion of Plurilock, Inc. and is not based on, nor does it include, data or analysis provided by any third parties. This information is provided only for comparison purposes. This data is intended neither to encourage nor discourage the use of Zighra or any other product. All trademarks shown are the property of their respective owners.
Plurilock products enable strong background MFA by using machine learning to analyze behavioral-biometric, environmental, and contextual identity factors.
Zighra’s platform intakes data and creates a unique user profile including typing, swiping, and tapping characteristics combined with environmental variables.