Create a governed data foundation to accelerate data outcomes and address security, privacy and compliance requirements
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Data governance is the data management discipline that focuses on the quality, security and availability of an organization’s data. Data governance helps ensure data integrity, data security and data privacy by defining and implementing policies, standards and procedures for data collection, ownership, storage, processing and use.
Related products
Centralize governance and apply responsible AI policies to keep data and data sources secure, compliant and auditable across your system.
Secure enterprise data and simplify compliance across your hybrid cloud infrastructure.
Discover, govern and share your data—wherever it resides—to fuel AI that delivers accurate, timely and relevant insights.
Provision, audit and report on user access and activity through lifecycle, compliance and analytics capabilities, on premises and in the cloud.
Related services
Data and AI consulting services
Successfully scale AI with the right strategy, data, security and governance in place.
Resources
- Ebooks
- Reports
- Webinars
- Case studies
In-depth ebooks and guides
Discover the key benefits gained with automated AI governance for any AI—apps, models or agents. Learn how to maximize the return on investment (ROI) for all your AI initiatives with the right set of frameworks and tools.
This ebook analyzes several topics related to data governance and privacy such as scalability, establishing and implementing organization-wide standards and data lineage and traceability.
Follow a simple 5-step performance framework and find out how to make smarter, safer AI model choices.
Read this guide to better understand why AI is making security and governance matter more than ever and what are the barriers to protecting and building trust for data and AI.
Trends shaping AI, governance and security
See why Forrester recognized IBM as a Leader for its watsonx.governance solution—helping enterprises manage AI risk, compliance and trust at scale.
Gartner Market Guide for AI TRiSM outlines emerging solutions for AI trust, risk and security management to help organizations govern AI systems and manage associated risks.
Enterprises looking to scale AI initiatives responsibly will require a strong AI governance platform. Read the full analysis and discover how IBM watsonx.governance can support your Al strategy.
Learn how to safeguard your people and data from cyberattacks. Get deeper insight into attackers’ tactics and recommendations to proactively protect your organization.
Learn directly from industry experts
Join us for this critical session as we explore IBM Guardium Data Protection’s recent launches and updates designed to help organizations move from reactive compliance to always-on readiness.
As organizations race to embrace AI for competitive advantage, they often overlook the core element of trustworthy AI. The future of AI depends on how well we secure it today.
Listen to IBM experts as we unpack real-world attack vectors, emerging frameworks and actionable defense strategies for securing AI agents in enterprise environments.
Join us live for an IBM Technology Summit focusing on Agent Ops and Responsible AI to learn IBM’s perspective on operating agentic AI responsibly at scale.
See how leaders are driving results with IBM
Embedding Governance into AI at Banco do Brasil
Engineering Scuderia Ferrari HP’s fan engagement strategy
Scalable, compliant and efficient AI governance
UFC collaborates with IBM to streamline and scale insight generation for 40+ live events