Machine Learning Based Adaptive Authentication
- Detect unconventional & suspicious behaviour in timings of user activity.
- Identify genuine user behaviour from suspicious/bot behaviour.
- Uniquely identifying devices, OS, browsers used for access.
- Track user logins to Detect a seemingly unsustainable change in login locations.
- Restrict user access from blacklisted or unrecognized high-risk IP addresses.
- Trace user’s access location to check for country, city and other information.
REVE Secure Features
Token Based Authentication
Security tokens based additional authentication check
Swift & Distinctive Token Generation
Instant and unique token generation.
Prevent & Restricts Unauthorized Access
Blocks unauthorized login attempts made using passwords.
Scalable & Reliable
Easily scalable and highly reliable.
Multi-Support
Supports multitude of platform and devices.
User-Experience
Intuitive features with excellent user-interface.
TWO-FACTOR AUTHENTICATION
FOR WEB APPLICATIONS
Web application attacks are the topmost reasons behind the data breaches. Passwords have been consistently proven to be a failure in protecting web application and services including websites from security breaches.
TWO-FACTOR AUTHENTICATION
FOR UNIX/LINUX SSH
Availability of huge repositories of data including financial & confidential data makes LINUX more favorite amongst the hackers and attackers.
TWO-FACTOR AUTHENTICATION
FOR WINDOWS LOGIN
Microsoft Windows Infrastructure is the lifeline for any of the enterprises. Passwords are no longer adequate to secure and protect your valuable business data.
