What are the most common commands and their syntax?

Common commands include 'MASK' to apply masking rules, 'UNMASK' to reverse masking (if applicable), 'DEFINE' to create masking definitions, and 'RUN' to execute masking jobs. The syntax involves specifying the table, column, and masking rule. For example: MASK TABLE MYTABLE COLUMN SSN USING RULE 'MASK_SSN'.

What configuration files or interfaces are used?

The product uses configuration files to store masking rules, data connection details, and job definitions. These files are typically XML-based and are used to define how data should be masked. The interface is primarily command-line driven, with options to specify the configuration file.

What are the main system components?

The architecture includes components such as the Masking Engine, which applies the masking rules; the Metadata Repository, which stores masking definitions; and the Data Connector, which handles database interactions. These components work together to mask the data.

What databases or storage mechanisms are used?

The product interacts with Db2 databases on z/OS. It uses database connections to read and write data. The Data Connector component handles the communication with the database, and the Masking Engine applies the masking rules based on the configuration.

What is the business value of using this product?

The primary business value is to reduce the risk of data breaches by masking sensitive data in non-production environments. This helps organizations comply with data privacy regulations and protect confidential information. It enables safe testing and development with realistic data.

How does this product improve testing and development processes?

By masking sensitive data, the product allows organizations to use realistic data for testing and development without exposing confidential information. This improves the quality of testing and reduces the risk of data leaks. It helps to maintain data integrity while ensuring data privacy.

How does this product help with regulatory compliance?

The product supports compliance with data privacy regulations such as PCI DSS. It helps organizations meet the requirements for securing sensitive cardholder information. This reduces the risk of non-compliance and associated penalties.

What authentication methods are supported?

The product supports authentication through the underlying Db2 security mechanisms on z/OS. This includes methods such as RACF, which provides user authentication and authorization. Access control is managed through the database security features.

What access control model is used?

Access control is managed through the underlying Db2 security features on z/OS. This includes role-based access control (RBAC) and other database-level security features. Users are granted permissions to access and modify data based on their roles and privileges.

What encryption is used and where?

Data encryption is typically handled at the database level by Db2 on z/OS. The product itself does not provide encryption but relies on the database's security features. This ensures that sensitive data is protected both at rest and in transit.

What audit/logging capabilities exist?

The product provides audit logging capabilities through the underlying Db2 database. Audit trails can be configured to track data masking operations and user activities. This helps to monitor and maintain data security and compliance.

What administrative interfaces are available?

The primary administrative interface is the command-line interface (CLI). Users interact with the product through commands to define masking rules, configure connections, and run masking jobs. The CLI provides a way to manage all aspects of the product.

How is user management handled?

User management is handled through the underlying Db2 security mechanisms on z/OS. User access and permissions are managed at the database level. The product leverages the existing security infrastructure for user authentication and authorization.

What are the main configuration parameters?

Main configuration parameters include connection details for the source and target databases, masking rule definitions, and job scheduling settings. These parameters are typically stored in XML configuration files. The parameters control how data is masked and processed.

What monitoring/logging capabilities exist?

The product provides logging capabilities to track masking operations and errors. Logs can be used to monitor the execution of masking jobs and troubleshoot issues. The logging level can be configured to control the amount of information recorded.

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InfoSphere Optim Data Masking Solution for DB2

Name: InfoSphere Optim Data Masking Solution for DB2
Availability: InStock

IBM Not Supported z/OS

Testing Data Management Db2

Vendor

IBM

Product Overview

The architecture of InfoSphere Optim Data Masking Solution for DB2 consists of several key components. The Masking Engine is the core component responsible for applying masking rules to the data. The Metadata Repository stores masking definitions, including masking rules, table and column mappings, and database connection details.

The Data Connector handles database interactions, reading data from the source database and writing masked data to the target database. The product primarily runs on z/OS and interacts with Db2 databases. Communication between components is managed internally.

The CLI is the primary interface for administration and configuration. The product uses XML configuration files to define masking rules and database connections. For example, a masking rule might be defined as: ``.

The product leverages Db2 security features for authentication and access control. The product is no longer supported; consider Delphix Dynamic Data Platform.

Frequently Asked Questions

What is InfoSphere Optim Data Masking Solution for DB2?

InfoSphere Optim Data Masking Solution for DB2 is a tool designed to mask sensitive data in test Db2 databases. It enables the removal of confidential information from test databases copied from production environments. This helps to protect sensitive data while still allowing for effective testing and development.

What platforms does InfoSphere Optim Data Masking Solution for DB2 support?

The product was designed to work with Db2 databases on z/OS. It facilitates the creation of masked data sets for testing and development purposes. The tool helps to ensure that sensitive data is protected in non-production environments.

What is the main use case for InfoSphere Optim Data Masking Solution for DB2?

The primary use case is to mask sensitive data in test databases. This involves copying production data to a test environment and then using the tool to replace or obfuscate sensitive information. This ensures that test data does not expose confidential details.

How does InfoSphere Optim Data Masking Solution for DB2 help with compliance?

The product helps organizations comply with data privacy regulations by masking sensitive data. It supports the Payment Card Industry Data Security Standard (PCI DSS) by addressing requirements related to securing sensitive cardholder information. This helps to reduce the risk of data breaches and non-compliance.

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