Flag suspicious file and user activities that indicate sufficient risk for intervention by business management. This user and entity behavior analytics (UEBA) solution applies sophisticated rule-based modeling to data sources to establish normal patterns of behavior and help determine suspicious activities. Analysis can reduce the possibility of insider threats, since they are difficult to detect due to privileged users having specific knowledge of security controls and methods to bypass them.
Brochures
Learn how Fasoo RiskView (FRV) detects suspicious activities that indicate sufficient risk to merit concern and potential intervention by business management.
Industry Reports
Learn more about the increasing need for better security practices and solutions to reduce the risks posed by malicious insiders as well as unintentional insiders.
Industry Reports
Understand what activities put business-critical information at risk in the workplace and learn how to safeguard high value information.
Videos
Learn how using a file-centric approach to encrypt and assign granular access controls to files is the best way to close the security gap on insider threats.
Fasoo RiskView (FRV) is an UEBA solution that establishes normal patterns of behavior and helps determine suspicious user and file activities.
User and entity behavior analytics (UEBA) is a cybersecurity approach that uses advanced analytics and machine learning to monitor and analyze the behavior of users and entities within a network. UEBA systems identify patterns and detect anomalies that may indicate potential security threats, such as insider threats, compromised accounts, or malicious activities. By establishing a baseline of normal behavior, UEBA can quickly flag deviations that warrant further investigation, enhancing an organization’s ability to detect and respond to sophisticated cyber threats in real-time. This proactive monitoring helps protect sensitive data and maintain the integrity and security of the information assets.
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