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IBM InfoSphere Optim

Managing sensitive data across its entire lifecycle from first use to final archive.

Every organisation holds sensitive data it is obligated to protect, customer records, financial information, and personal identifiers, spread across applications, databases, and systems that were never designed with today’s compliance requirements in mind. IBM InfoSphere Optim provides a suite of data lifecycle management tools that address this challenge end to end: masking sensitive data in non-production environments, ensuring privacy compliance across structured and unstructured formats, managing data growth, and retiring historical data safely when it has served its purpose.

This is the operational layer that makes data governance practical rather than theoretical – applied where the data actually lives, across the full span of its life in the organisation.

Modernisation icon showing upgrade from legacy systems to cloud

Protect sensitive data in every environment

Sensitive data in test and development environments is just as exposed as in production and far less likely to be governed. InfoSphere Optim Data Privacy masks sensitive information across applications, databases, and operating systems using transformation techniques that produce realistic, fully functional data – retaining contextual meaning while removing compliance risk. Predefined rules accelerate compliance with GDPR, HIPAA, GLBA, and other frameworks.

Find out more on the IBM website: IBM InfoSphere Optim Data Privacy >

Stay compliant without slowing down development

Test environments built on production data create risk and slow release cycles. InfoSphere Optim Test Data Management automates the creation of non-production data that is right-sized, realistic, and safe so teams can access and refresh data on demand without exposing sensitive information or waiting on data teams.

Find out more on the IBM website: IBM InfoSphere Optim Test Data Management >

Control data growth and reduce storage costs

Unmanaged data growth degrades application performance and complicates compliance. InfoSphere Optim Archive moves historical data out of active systems while keeping it accessible for query, reporting, and regulatory purposes. Retention policies govern how long data is held and when it can be safely deleted.

Find out more on the IBM website: IBM InfoSphere Optim Archive >

A complete data lifecycle strategy

The three Optim components work together as a coherent data lifecycle strategy – data protected from the moment it enters non-production environments, governed throughout its active life, and retired safely when retention requirements are met. Works alongside IBM Guardium [internal link] for a complete security picture, and connects to the governance framework managed by watsonx.governance.

IBM InfoSphere Optim in action

For organisations where sensitive data is spread across legacy application estates – where test environments contain real customer data, storage costs are growing, or a compliance audit has exposed gaps – this is where Dot Group starts the conversation. We implement masking, test data management, and archiving in a sequence that addresses the most pressing risk first, connecting Optim to the broader data security and governance framework across the estate.

See how IBM InfoSphere Optim fits into our data security and governance approach >