Cyber adversaries are getting more and more sophisticated and therefore it is best practice to apply multiple security layers when protecting against privileged access abuse. Today’s threatscape requires security controls to be adaptive to the risk-context and to use machine learning to carefully analyze a privileged user’s behavior. Leveraging Centrify Privilege Threat Analytics Service can make the difference between falling victim to a breach or stopping it in its tracks.
Adaptive Multi-Factor Authentication
Add an extra layer of security to stop the breach with risk-aware, adaptive multi-factor authentication (MFA) for IT admins who access Windows and Linux systems, elevate privilege or leverage privileged credentials.
User Behavior Analytics
Leverage modern machine learning algorithms to carefully analyze a privileged user’s behavior and identify “anomalous” or “non-normal” and therefore risky activities and alert or notify security. In addition, privileged user behavior analytics can be used to analyze most used and least used commands and activities and serve as a governance function to suggest changes to roles and rights.
When you get a clear picture of the breadth of capabilities Centrify Zero Trust Privilege Services provide, you begin to understand just how many security check boxes it ticks. I’m still surprised at the number of issues I was able to address with just this single solution.
, IT Operations Manager, GSI