Cyber adversaries and their attack strategies are getting 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 use machine learning to analyze a privileged user’s behavior carefully. 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-based, adaptive multi-factor authentication (MFA) for IT admins who access Windows and Linux systems, elevate privilege, or leverage privileged credentials.
When you get a clear picture of the breadth of capabilities Centrify Privileged Access Management provides, 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
User Behavior Analytics
Leverage modern machine learning algorithms to carefully analyze a privileged user’s behavior. Identify “anomalous” or “non-normal” and, therefore, suspicious activities and alert or notify security. Also, you can use privileged user behavior analytics to analyze most used and least used commands and actions and serve as a governance function to suggest changes to roles and rights.
Learn More About Centrify Privileged Threat Analytics
Privilege Threat Analytics Example Using Geolocation
In this demo, we show how Centrify's Privilege Threat Analytics Service overcome the limitations of...
2021 Gartner Magic Quadrant for Privileged Access Management
Gartner Identifies Centrify as a Leader in the 2021 Privileged Access Management Magic Quadrant.