View Webcast: How to use Machine Learning to Detect Malicious Activities in Your Network
With rules-based tools it is unlikely to detect zero-day attacks, as these traditional solutions rely on known patterns and attack methods. So, attacks that use new methods may go undetected. Then, if the new attack mode is successful with privileged credentials, the bad actor behind it has the potential to:
- Steal confidential data and intellectual property
- Hold your infrastructure hostage
But there is a way to protect your privileged resources: machine learning and User Behavior Analytics can help. Even new attack methods can be detected, as this security focuses on user behavior instead of patterns and rules.
View this on-demand webcast to learn how One Identity Safeguard solutions leverage machine learning and analytics to keep an eye on what’s happening with privileged access – in real time.
In this webcast you will learn about:
Primer on Our Behavior Analytics Technology
One Identity Safeguard for Privileged Sessions (SPS): session-recording and auditing features to prevent misuse and help to accelerate forensics investigations
One Identity Safeguard for Privileged Analytics (SPA): integrates data from SPS and creates a user-behavior baseline profile. The activities of privileged users are monitored and – in real time – compared to user profiles to detect anomalies. When SPA detects unusual activity, the behavior is given a risk score and sends this info to SPS to update the visualized insights UI, as well as sends an alert when necessary, such as when the risk score crosses a certain threshold.
What can we do for you?
We are looking forward to your contact.