Cloud data security software can provide a wide range of features, but here are a few of the most common found in the market.
Data masking — Data masking functionality protects sensitive data by disguising or encrypting data, keeping it usable by the organization and approved parties.
Data encryption — Encryption features are used to manage policies for user data access and data encryption.
Data loss prevention — This feature stores data securely either on-premise or in an adjacent cloud database to prevent loss of data at rest.
Anomaly detection — Anomaly detection features are used to constantly monitor activity related to user behavior and compares activity to benchmarked patterns.
Sensitive data compliance — Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.
Cloud gap analytics — Cloud gap analytics analyze data associated with denied entries and policy enforcement, giving better information of authentication and security protocols.
Compliance monitoring — Compliance-related monitoring features are used to monitor data quality and send alerts based on violations or misuse.
User analytics — User analysis functionality allows reporting and documentation of individual user behavior and privileges.
Auditing — Auditing and documentation features increase visibility into access and alterations of the database and can be used for behavioral analytics and reporting.
Data discovery — Data discovery features unveil data connected to infrastructure and applications used to manage and maintain compliance within complex IT systems.
Access control — Access control requires a product to support LDAP protocol to enable access control and governance.
