Protect Against Privileged ID Theft
With One Identity Safeguard for Privileged Analytics, you can know who your high-risk privileged users are, monitor questionable behaviors and uncover previously unknown threats from inside and outside of your organization. By using user behavior analytics technology, Safeguard for Privileged Analytics detects anomalies and ranks them based on risk so you can prioritize and take appropriate action -- and ultimately prevent data breaches.
No place to hide. You can now evaluate entitlement grants against risk-classification rules to identify high-risk accounts. Notifications are automatically sent when changes to entitlement grants move a user’s profile into a high-risk status. This eliminates risk from unnecessary or dormant entitlements before someone can abuse or exploit them.
Rules-based security will fail to detect new external attack methods or malicious insiders. Safeguard for Privileged Analytics tracks and graphically represents user activity in real-time for a clear understanding of what is really happening in your IT environment. No need for pre-defined correlation rules; it simply works with your existing session data.
Instead of using pattern-based matching to detect ‘known bad’ behavior – which is often incorrect -- Safeguard for Privileged Analytics creates a baseline of ‘normal’ behavior via data collected from your IT environment. It then uses that data to detect deviations by using 13 different machine-learning algorithms.
By analyzing the screen content of privileged sessions, issued commands and window titles, Safeguard for Privileged Analytics can enrich the baseline-behavior profile of your privileged users by noting commonly used commands and applications. This granular analysis identifies ‘typical’ behavior and can help detect theft and misuse of privileged identities.
Each user has an idiosyncratic pattern of behavior, even when performing identical actions, such as typing or moving a mouse. The algorithms built into Safeguard for Privileged Analytics inspect these behavioral characteristics (captured by Safeguard for Privileged Sessions). Keystroke dynamics and mouse movement analysis help identify breaches and also serve as a continuous, biometric authentication.
In most attack scenarios, high-impact events are often preceded by a reconnaissance phase. So, detection and response during this phase is critical to preventing damaging activity. Seamless integration with Safeguard for Privileged Sessions enables automated session termination whenever a highly suspicious event occurs, or malicious behavior is detected.
According to the National Academies Press, “biometrics is the automated recognition of individuals based on their behavioral and biological characteristics.” Read this white paper to learn more about Behavioral Biometrics and its role in security.
Detect risk in your privileged users to prevent damage to your organization
One Identity named a Visionary in the Gartner MQ for Privileged Access Management
Supporting NERC CIP compliance with the One Identity Safeguard Privileged Access Management solution.
This is the executive summary of the federal findings from One Identity's 2018 Assessment of Identity and Access Management
The primary research study assesses current experiences and challenges around Identity Access Management (IAM) and privileged accounts with federal government agencies.
Despite all the regulations and digital transitions, it turns out that security is by far the leading driver behind an organization taking on a significant privileged access management (PAM) project.