AutoPrivacy poised to accelerate policy enforcement

The next generation of IBM Cloud Pak® for Data, announced at Think 2021

Why is data privacy a growing challenge?

Resolve fragmented practices into a holistic approach

Businesses are facing conflicting imperatives: Make more data accessible for analysis, while managing security and compliance for personally identifiable information (PII) data to maintain consumer trust. Gartner projects (link resides outside IBM) that by 2023, 65% of the world’s population will have its personal data covered under modern privacy regulations. But as the amount of data, models and regulations grows, you could be missing insights needed for innovation by isolating data behind a firewall.

New strategies and technologies can help you transition disparate data security, privacy and governance practices into a more holistic approach that allows you to understand and police sensitive data across your organization. Through a unified privacy framework available on IBM Cloud Pak® for Data, you can unlock your data’s potential.

A unified framework from IBM

With a unified privacy framework through IBM Cloud Pak for Data, IBM is helping its customers fully understand and manage how sensitive data is used throughout their organizations. We are integrating leading solutions that span data governance, data privacy, risk management and data security within a collaborative platform, providing customers with a real-time view of PII across their businesses. This universal view reveals who has access to sensitive data, why, and what outcomes it has impacted. We also deliver the policy and regulation enforcement tools required to accelerate risk mitigation across all data and AI assets, as well as provide automated data protection on high-risk data.

Illustration showing person on podium holding laptop with dotted lines connected to data cubes

Benefits of the IBM framework

An AI-ready data privacy solution

Minimize risks

Eliminate privacy blind spots and make risk-aware business decisions to manage compliance regulations.

Accelerate collaboration

Achieve organization-wide change and growth with a foundation of trusted and governed data.

Automate data privacy at scale

Achieve real-time insights across clouds by enforcing privacy policies and regulations across all data and AI assets.

Deploy on any cloud

Realize the efficiency, agility and resiliency of a containerized solution built on Red Hat® OpenShift®.

Achieve real-time privacy

Benefit from automated data discovery, cataloging, de-identification and compliance assessments.

Customize and extend

Tap into a broad ecosystem of cloud-native privacy and security services to customize data and AI workflows on any cloud or as a service.

IBM data privacy and AI protection tools

Assess and discover

Assess and discover

IBM Watson® Knowledge Catalog for IBM Cloud Pak for Data is an intelligent data catalog, backed by active metadata and policy management. It provides an end-to-end data governance experience that delivers data in context, while ensuring data quality and masking sensitive data.



IBM Data Privacy for IBM Cloud Pak for Data offers advanced format-preserving masking capabilities that retain data utility and relationships through centralized privacy rules. This allows data scientists, analysts, testers and developers to create actionable insights and high-quality releases.



IBM OpenPages® Data Privacy Management enables users to run privacy assessments on assets to give a holistic, real-time view of PII. This allows you to harness the power of your metadata for a unified view on IBM Cloud Pak for Data of all of the private data assets being stored across your organization.

Build a zero-trust framework

Build a zero-trust framework

IBM Security™ solutions help you to deliver trusted customer experiences and to grow your business with a holistic, adaptive approach to data privacy based on zero-trust principles and proven data privacy protection.

What’s new

The race to digital resiliency

Learn how to build a robust data management framework.

Data privacy in the age of AI

Hear IBM experts discuss key privacy and compliance considerations and strategies when implementing AI.

Understand today’s regulatory landscape

Kick-start protection mapping using the foundation you may have already built for data privacy in the process.

Meet compliance regulations around the globe

General Data Protection Regulation (GDPR)

The GDPR seeks to create a harmonized data protection law framework across the EU and aims to give back to data subjects the control of their personal data, while imposing strict rules on those hosting and processing this data, anywhere in the world.

California Consumer Privacy Act (CCPA)

The California Consumer Privacy Act (CCPA) is a new consumer protection and data privacy act. It enhances the privacy rights for residents of the state of California in the United States. Now that it is enacted, organizations must disclose information about the collection, sale and disclosure of personal information. There are amendments proposed through 2022.

EU Artificial Intelligence Act Proposal

The European Commission unveiled a regulatory proposal in April 2020 to make sure that Europeans can trust what AI has to offer. Proportionate and flexible rules will address the specific risks posed by AI systems and set the highest standard worldwide. The Coordinated Plan outlines the necessary policy changes and investment at the Member States level to strengthen Europe's leading position in the development of human-centric, sustainable, secure, inclusive and trustworthy AI. This is a conversation to watch.

Get started with IBM Cloud Pak for Data

Provide the right data to the right people under the right conditions.