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.
Supports multitude of platform and devices.
Intuitive features with excellent user-interface.
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.
FOR UNIX/LINUX SSH
Availability of huge repositories of data including financial & confidential data makes LINUX more favorite amongst the hackers and attackers.
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.