Security and Compliance
IBM’s Office of Privacy and Responsible Technology needed to connect data, privacy, and AI governance mechanisms that were operating separately so the company could scale AI innovation without weakening regulatory compliance, provenance controls, or trust.
Reported impact
IBM reduced clearance-processing times, approved large numbers of datasets and models for reuse, and created a reusable governance pattern that supports trusted AI development internally and for partner ecosystems.
IBM’s Office of Privacy and Responsible Technology built the Integrated Governance Program as a unified control plane for responsible AI and data usage. The program extends the earlier Privacy and AI Management System by connecting intake, procurement, research, development, and re-use processes into one governance workflow. To do that, OPRT integrates IBM watsonx.governance, IBM Cloud Pak for Data, IBM Knowledge Catalog, and IBM OpenPages so data sources, models, privacy reviews, and risk decisions can be tracked end to end instead of through separate processes. The resulting system gives business-unit AI leads a holistic view of what data and models exist, what standards apply, and what approvals or provenance checks are required, which helps IBM enforce uniform internal standards without slowing development. It also directly supports IBM’s own AI products, including Granite models, by giving teams faster access to approved, high-quality inputs and a clear governance path for new technologies such as agentic AI.
Data and model requests move through intake and provenance checks in IGP, governed assets are cataloged and reviewed with Cloud Pak for Data, Knowledge Catalog, OpenPages, and watsonx.governance, and the resulting approvals and standards feed back into AI development, re-use, and compliance workflows.
“58% reduction in data clearance request processing time for third-party data.”
“By creating a holistic, end-to-end view of all data and models built and used by IBM, IGP scales governance workflows around data, privacy, and AI”
“In 2022, OPRT launched the Privacy and AI Management System (PIMS)”
“The adaptability of IGP enables IBM to both address current technologies and prepare for emerging ones, like agentic AI.”
“This is achieved by integrating technologies such as IBM watsonx.governance, IBM Cloud Pak for Data, IBM Knowledge Catalog, and IBM OpenPages”
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
IBM Sample Oct 15, 2025 IBM Tax Organization IBM's tax organization needed to automate global compliance work because inaccessible and incomplete data made tax-return preparation and document validation too manual across many countries and source systems. 3 use cases on track to save tens of thousands of hours annually EY.ai for tax · IBM watsonx.ai · IBM watsonx.data IBM Sample Oct 7, 2025 Dynamiq Dynamiq needed a way to help legal teams process large volumes of contracts, compliance reports, and regulatory documents faster, while reducing manual review work and improving the consistency of compliance decisions. 50% reduction in contract review, down from 1.5 hours to 45 minutes IBM Granite · IBM watsonx Orchestrate · IBM watsonx.data IBM Sample Oct 2, 2024 CXReview CXReview needed to automate quality-control and compliance analysis across high-volume call center conversations because manual review covered only a small fraction of calls and slowed coaching and remediation. Estimated to save around 23 hours in total per day IBM Watson Discovery · IBM watsonx Assistant · IBM watsonx.ai 