Imperva Data Security Fabric (DSF)
This is a collection of technologies that together create a Data Security solution for organizations of any size. Data Security Fabric includes, among others, classic Data Activity Monitoring (DAM) components that rely on agent-based audit data collection, as well as agentless mechanisms that utilize native auditing present in nearly all production databases. Additionally, DSF includes analytical tools and a range of other features that help implement comprehensive projects for monitoring and protecting enterprise data assets. DSF extends beyond structured data (stored in relational/structured databases) and provides the ability to extend protection to unstructured data. Imperva DSF provides proactive control and predictive analytics, enabling security analysts and management personnel to leverage monitoring capabilities, security assessment, risk modeling, and attack detection to avoid harmful data breaches or non-compliance. For example, Imperva DSF identifies behaviors that violate data usage policies, and advanced risk analysis detects indicators of malicious insider activity or compromised user accounts that may bypass data repository access controls and circumvent data encryption.
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Imperva Data Security Fabric (DSF)
This is a collection of technologies that together create a Data Security solution for organizations of any size. Data Security Fabric includes, among others, classic Data Activity Monitoring (DAM) components that rely on agent-based audit data collection, as well as agentless mechanisms that utilize native auditing present in nearly all production databases. Additionally, DSF includes analytical tools and a range of other features that help implement comprehensive projects for monitoring and protecting enterprise data assets. DSF extends beyond structured data (stored in relational/structured databases) and provides the ability to extend protection to unstructured data. Imperva DSF provides proactive control and predictive analytics, enabling security analysts and management personnel to leverage monitoring capabilities, security assessment, risk modeling, and attack detection to avoid harmful data breaches or non-compliance. For example, Imperva DSF identifies behaviors that violate data usage policies, and advanced risk analysis detects indicators of malicious insider activity or compromised user accounts that may bypass data repository access controls and circumvent data encryption.
