Data Risk Analytics
About the product
Data Risk Analytics from Imperva is an analytics platform that identifies and assesses risks related to data access and user activity in database environments. The solution uses machine learning and user behavior analytics (UBA) to detect unusual activity, privilege escalation, and potential internal threats. Data Risk Analytics aggregates information from various sources, transforming raw data into clear risk reports and recommendations for corrective actions, enabling organizations to better manage data security.
Advantages of the product
User behavior analysis and identification of unusual activity.
Dynamic risk assessments related to access to sensitive data.
Detection of internal threats and attempts to escalate privileges.
Automatic prioritization of incidents based on risk level.
Integration with monitoring and incident management systems (SIEM, SOAR).
Support for decisions regarding blocking, restricting, or changing access permissions.
Extensive reporting and visualization of data risks.
Adaptive data protection depending on the threat context.
Benefits of Implementation
Better understanding of the level of risk associated with data access within the organization.
Early detection of dangerous user and administrator behavior.
Automatic prioritization of data security threats.
Reduced detection and response times for data breach incidents.
Better preparation for audits and regulatory compliance checks.
Reduced risk of data leaks and financial losses related to incidents.
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