Best Data De-Identification Tools for IBM Db2

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Mask your personal information to ensure it looks and behaves like real data. Software development needs realistic test data. DOT Anonymizer masks test data and ensures its consistency across all data sources and databases. The use of personal data or identifying information outside of production is prohibited (development, testing and training, BI, external services providers, etc.). Data leakage is a major concern. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. You can retain the original format of data by anonymizing it. Your teams can work with fictional, but realistic data. Manage your data sources to maintain their usability. Use DOT Anonymizer from your own applications. Consistency in anonymizations across DBMS and platforms. To ensure realistic data, maintain relations between tables. Anonymize any database type and file, such as CSV, XML or JSON.

IBM InfoSphere®, Optim™, Data Privacy offers extensive capabilities to mask sensitive data in non-production environments such as development, testing, QA, or training. This single offering offers a variety transformation techniques that can replace sensitive information with fully functional, functionally masked data. Substrings, arithmetic, sequential or random number generation, date ageing, and concatenation are all examples of masking techniques. The context-aware masking capabilities allow data to be retained in a similar format as the original. Apply a range of masking techniques on-demand to transform personally-identifying information and confidential corporate data in applications, databases and reports. Data masking tools can be used to prevent misuse of information. They allow you to mask, obfuscate, and privatize personal information that is distributed across non-production environments.

SecuPi is a data-centric platform that provides a comprehensive security solution. It offers fine-grained control of access (ABAC), Database Activity Monitor (DAM), and de-identification through FPE encryption and masking, both physical and dynamic (RTBF). SecuPi covers a wide range of applications including packaged and home-grown, direct access tools, cloud environments, big data and cloud environments, as well as packaged and homegrown applications. One data security platform to monitor, control, encrypt and classify data across cloud & on-prem without code changes. Platform that is agile and configurable to meet current and future audit and regulatory requirements. Implementation is fast and cost-effective with no source-code changes. SecuPi’s fine-grain controls for data access protect sensitive data, so that users only see the data they are allowed to view. Seamlessly integrates with Starburst/Trino to automate data access policies and protection operations.

Syntho is typically deployed in the trusted and safe environment of our clients, so that (sensitive data) never leaves this environment. Our connectors are ready-to-use to connect you to the target environment and source data. Syntho supports 20+ database connectors, 5+ filesystems, and can connect to every leading database and filesystem. Define what type of synthetizations you want to run. Mask or synthesize values realistically. Automatically detect sensitive data types. Use and share protected data in a secure manner, while maintaining compliance and privacy.