Data Security Posture Management (DSPM)

DSPM provides visibility as to where sensitive data is, who has access to that data, how it has been used and what the security posture of the data store or application is.According to Gartner“DSPM provides visibility of inconsistent security posture by analyzing a data map of user access to various datasets for identifying business risks. DSPM accelerates assessments of how data security posture can be enforced through complementary data security controls to reduce business risks despite the speed, complexity, dynamics and scale of hybrid IT and multi-cloud deployments.”

Data Detection and Response (DDR)

When we combine DSPM (which is more static) with our AI capabilities to detect potential breaches and real time access patterns, we are able to provide comprehensive DDR. While DSPM provides a static image of where the risk lies, DDR is dynamic and focuses on events happening in real time. Aurva provides data breach detection capabilities in real time.

Data Access Controls (ACL) and Monitoring (DAM)

DAM and ACLs at a sensitive data type level, across cloud, when combined with granular level access controls, enables real- time management and policy enforcement of user privileges in relation to specific datasets according to role, responsibility and data residency. Multicloud DAM uniquely monitors user activities with data that will support compliance with a variety of data protection and privacy laws. This includes enforcement of SOD and appropriate business user access to data, vulnerability management, user activity monitoring, and a forensic audit record of all SQL activities.

Data Access Governance (DAG)

DAG provides data access assessments, management and real-time monitoring capabilities for the unstructured and semistructured data found in file repositories.According to Gartner"Unstructured data repositories are frequently not well managed, and the progressive adoption of cloud and collaboration platforms has made the situation more complex. Cyberthreats and privacy laws further complicate the notion of unstructured data security. DAG solutions have now become critical as they provide data access assessment, access management and real-time monitoring for unstructured and semistructured data."

Data Redaction

Data redaction involves the process of concealing or removing sensitive information from documents or datasets to protect privacy and security. Aurva's advanced architecture allows for data redaction for sensitive data on the go, configurable on the fly or via policies.

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