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PostgreSQL Solution

Data privacy and security is quickly evolving to be on equal footing with traditional security measures focused on the network, hardware, or software the data is contained within. Organizations aligning to concepts like Data-Centric Audit and Protection (DCAP) as defined by Gartner, or the requirements of strict compliance regulations like EU GDPR, are looking to implement processes that help them understand where sensitive data is stored, who or what is leveraging their privileges to access the data, and how each database has been configured.

As part of Netwrix comprehensive Data Access Governance suite for structured and unstructured data, Enterprise Auditor for PostgreSQL automates the process of understanding where PostgreSQL databases exist and provides an overview of the PostgreSQL environment in order to answer questions around data access:

  • Who has access to your data?
  • Where is sensitive data being stored?

With visibility into every corner of PostgreSQL, organizations can proactively highlight and prioritize risks to sensitive data. Additionally, organizations can automate manual, time-consuming, and expensive processes associated with compliance, security, and operations to easily adhere to best practices that keep PostgreSQL Server safe and operational.

Supported Platforms

  • Open Source PostgreSQL 9x through 12x
  • Enterprise DB PostgreSQL (10x trhough 12x)
  • Amazon AWS Aurora PostgreSQL Engine (all versions supported by Amazon AWS)
  • Azure PostgreSQL (9.6)

Requirements, Permissions, and Ports

See the Target PostgreSQL Requirements, Permissions, and Ports topic for additional information.

Sensitive Data Discovery Considerations

The Sensitive Data Discovery Add-On must be installed on the Enterprise Auditor Console server, which enables Sensitive Data criteria for scans. If running Sensitive Data Discovery (SDD) scans, it will be necessary to increase the minimum amount of RAM. Each thread requires a minimum of 2 additional GB of RAM per host. For example, if the job is configured to scan 8 hosts at a time , then an extra 16 GB of RAM are required (8x2=16).

By default, the job is configured to use 10 threads, which can be adjusted based on available resources on the Enterprise Auditor server.

NOTE: The Sensitive Data Discovery Add-on installation package installs the appropriate JDK (Java) version on the server. The JDK deployed is prepackaged and does not require any configuration; it has been preconfigured to work with Enterprise Auditor and should never be customized through Java. It will not conflict with other JDKs or Java Runtimes in the same environment.

Location

The Structured Sensitive Data Discovery License is required to run the PostgreSQL Solution. It can be installed from theEnterprise Auditor Instant Job Wizard. Once it has been installed into the Jobs tree, navigate to the solution: Jobs > Databases > PostgreSQL.

The 0.Collection Job Group performs sensitive data discovery and collects information on database configurations on the target hosts. The other job groups analyze and report on the data collected by the 0.Collection Job Group.

The Database Solution license includes all supported database platforms supported by Enterprise Auditor. Additionally, the Sensitive Data Discovery Add-On enables the solution to search database content for sensitive data.

Job Groups​

The Enterprise Auditor PosgreSQL Solution Set is a set of pre-configured audit jobs and reports that provides visibility into PostgreSQL Sensitive Data.

PostgreSQL Job Group

The job groups in the PostgreSQL Solution are:

  • 0.Collection Job Group - Designed to collect high level summary information from targeted PostgreSQL Servers. This information is used by other jobs in the PostgreSQL Solution Set for further analysis and producing respective reports
  • Configuration > PgSQL_DatabaseSizing Job - Designed to provide insight into details about the PostgreSQL environment and potential vulnerabilities related to instance configuration settings
  • Sensitive Data Job Group - Designed to provide insight into where sensitive data exists and who has access to it across all the targeted PostgreSQL databases