Govern AI across models, applications and agents to reduce risk, improve performance and maximize ROI with automated, enterprise‑grade AI governance
Put AI governance to work
Align AI model governance across traditional and generative AI systems directly to strategic objectives and define business KPIs to track performance. Monitor outcomes with built-in risk management insights through dashboards and workflows—ensuring AI systems deliver measurable, accountable value.
Strengthen third-party AI risk management and compliance by gaining visibility into models, vendors and emerging AI agent governance needs. Assess system exposure, including agentic AI governance, with integrated data partners and risk scoring—so you can proactively manage dependencies and regulatory obligations.
Use an automated AI governance platform to streamline compliance and audit processes across 200+ regulatory frameworks. Integrate data from trusted partners and use governance tools and software to map obligations, collect evidence and produce audit-ready reports—reducing cost, friction and latency.
Related products
Direct, manage and monitor your AI with a single AI governance platform that supports AI model governance across traditional and generative AI systems. Enable observable, explainable AI while enforcing policies that ensure compliance and protect data privacy.
Modernize IAM while using existing security tools for seamless, vendor-independent identity fabric—ensuring the right users have access to the right data to support data privacy and protection.
Scale AI with confidence by enabling AI agent governance and agentic AI governance across autonomous systems. Reduce complexity, control costs and ensure that agents operate securely, reliably and within policy.
Discover the 15th IBM Institute for Business Value (IBM IBV) CEO Study. Our research reveals 5 plays that help CEOs execute more successfully on strategy, deliver more consistent business results, and scale AI enterprise wide.
Related services
AI governance consulting
Your board wants faster AI deployment—and regulators demand stronger controls across AI model governance, generative AI and agentic AI governance. Failures in risk management can result in fines, model breakdowns and loss of trust.
IBM Consulting® helps you operationalize governance with automated controls embedded across your AI lifecycle. We design frameworks that deliver measurable risk reduction, accelerate compliant deployment and integrate seamlessly with your existing data and AI system.
Related resources
- Ebooks
- Reports
- Webinars
- Case studies
In-depth ebooks and guides
As AI adoption grows, governance and data security become increasingly interconnected. Whether you begin with governance, data security or both, IBM offers guided ways to explore each solution in more depth.
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.
Struggling with fragmented tools, rising non-human identities and evolving AI-driven threats? This IBM exclusive guide reveals how to unify identities, automate manual work and build a scalable, secure IAM foundation—without slowing users down.
Follow a simple 5-step framework to evaluate models and strengthen AI model governance for generative AI. Learn how to make smarter, safer and more compliant AI model choices.
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 AI strategy.
As attackers use AI to scale operations, security leaders must use AI to proactively secure their people, data and infrastructure. Explore the IBM X-Force® Threat Intelligence Index to learn about the challenges and successes experienced by security teams around the world.
Learn directly from industry experts
Join us for an IBM Technology Summit focusing on Agent Ops and responsible AI to learn IBM’s perspective on operating agentic AI responsibly at scale.
As enterprises push AI beyond pilots and into production, governance is emerging as the control layer that makes scale possible. In this session, Deloitte and IBM will show how organizations can operationalize trusted AI with Deloitte Sense AI, built on IBM watsonx.governance.
Listen to IBM experts as we unpack real-world attack vectors, emerging frameworks and actionable defense strategies for securing AI agents in enterprise environments.
Register for this webinar to hear IBM experts share insights, best practices and practical strategies for applying AI, automation and data technologies in modern enterprises.
See how leaders are driving results with IBM
Embedding governance into AI at Banco do Brasil
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Scalable, compliant and efficient AI governance
UFC collaborates with IBM to streamline and scale insight generation for 40+ live events