This feature supports two security goals. First, deleting obsolete or duplicate data reduces the volume of information that could be stolen in a breach. Second, it enforces data retention policies required by regulations like GDPR or SOX. Administrators can generate reports on files not accessed in a specific period and take action—archiving, deletion, or ownership review. For regulated industries—healthcare, finance, government—compliance is not optional. DataSecurity Plus eases the burden of audits by offering over 200 out-of-the-box reports aligned with major frameworks, including GDPR, HIPAA, PCI DSS, SOX, and GLBA. Reports can be scheduled, automated, and exported in multiple formats (PDF, CSV, HTML). The platform also provides real-time compliance dashboards that show, for example, which users have accessed protected health information (PHI) or whether any failed access attempts to financial data have occurred.
The platform achieves its objectives through four primary modules: , Data Leak Prevention (DLP) , Data Classification , and Storage Management . File Server Auditing: The Eyes and Ears of the Data Landscape The cornerstone of DataSecurity Plus is its robust file server auditing capability. In many organizations, file servers become "data swamps"—vast repositories of unstructured data with no clear owner or access history. DataSecurity Plus continuously monitors file activities across Windows, Linux, NAS devices, and even cloud storage like OneDrive and Google Drive. manageengine datasecurity plus
Administrators can create policies based on predefined data types—such as credit card numbers (PCI), Social Security numbers (HIPAA), or intellectual property keywords. Once a policy is active, the system monitors data in three states: at rest (stored on servers), in motion (transferred via email, USB drives, or network shares), and at endpoints. When a policy violation is detected, DataSecurity Plus can respond in several ways: block the transfer, quarantine the file, notify the security team, or generate an incident report. For instance, if an employee attempts to copy a patient records spreadsheet to an unencrypted USB drive, the DLP module can block the action and simultaneously log the attempt for compliance review. One of the greatest challenges in data security is simply knowing which data is sensitive. DataSecurity Plus addresses this through automated data classification. Using rule-based policies, content inspection, or pattern matching, the software scans file servers and assigns sensitivity labels—such as "Public," "Internal," "Confidential," or "Restricted." This feature supports two security goals