IBM is changing the game by breaking down the wall between governance and security
Share of surveyed organizations don’t have governance policies in place to manage AI or detect shadow AI.
Share of enterprise breaches will be linked to misuse of AI agents by both insiders and outsiders by 2028, according to a Gartner prediction.
Share of organizations that reported an AI-related security incident and lacked proper AI access controls.
Governance + Security = AI done right
AI is moving faster than most organizations can govern or secure it. As AI systems influence more decisions, risks multiply across data, models, and outcomes—often without visibility or accountability.
Traditionally, governance and security—policies, compliance measures, threat protection and data defense—have been siloed. This disconnect means many organizations lack a full view of the risks their entire AI tech stack faces.
Merging governance and security turns this fragmented sight into a cohesive view, helping ensure no aspect of AI risk goes undetected. The combination empowers organizations to embed trust and safety into their AI initiatives from day one and to address AI risks holistically.
In the current landscape, no single solution has been able to address both ethical compliance and security risks in AI — until now.
Unify governance and security for data and AI
IBM’s new offering unifies AI governance and security in one solution, changing the game for trusted AI.
By using the IBM® watsonx.governance® toolkit and the IBM Guardium® solution in tandem, organizations can now gain unparalleled visibility and risk management for AI in one integrated approach.
View AI model inventory with business and technical users.
Prioritize and monitor alerts across model health, performance and security vulnerabilities.
Set security and organizational policies to safeguard usage through gateways and guardrails.
Operationalize across product, risk, compliance and security stakeholders.
Built for teams that lead with trust
Supports cross-functional teams responsible for securing AI, governing data, and managing risk — so trust is built in from day one
Protect AI systems, models, and data from emerging threats and misuse.
Ensure data quality, ownership, and governance across the AI lifecycle
Deploy AI responsibly with transparency, monitoring, and control.
Meet regulatory expectations with confidence and consistency
Data & AI trust essentials
Explore the core capabilities behind trusted data and AI
Protect enterprise data across its lifecycle and simplify compliance requirements
Define ownership, quality, and control of data so teams can trust, share, and use it responsibly
Improve the speed, accuracy and productivity of security teams with AI-powered solutions
Good governance isn’t just about compliance; it’s an accelerator to scaling AI
Discover more related resources
- E-books
- Reports
- Webinars
- Case Studies
In-depth e-books and guides
Discover the key benefits gained with automated AI governance for any AI - apps, models or agents and how to maximize the ROI for all your AI initiatives with the right set of frameworks and tools
This E-Book 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 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.
The 20th annual Cost of a Data Breach Report focuses on the promise and peril of AI, which is increasingly becoming a powerful tool for cyber criminals and our best defense against them.
Learn directly from industry experts
Join IBM and Wipro for an exclusive webinar exploring the evolving landscape of AI security — from emerging risks to proven frameworks that empower CISOs to lead confidently in this new era.
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.
Is your company struggling with siloed teams with their own set of tools and metrics, leading to duplicated efforts and missed opportunities? Find out how your security and governance teams can operate in sync.
See how leaders are driving results with IBM
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Scalable, compliant, and efficient AI governance
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IBM’s AI governance and security solutions
AI is evolving fast, and business leaders are leaning into it with bold experimentation and widespread adoption. But as organizations race to unlock value from AI, many overlook two critical pillars: governance and security.
With AI adoption outpacing these pillars of oversight, organizations leave themselves open to security, operational and reputational risks.
The stakes are getting higher.
Threat actors have identified this oversight gap in AI and are already exploiting it. For example, they’re using AI to create deepfake audio clips with just a few prompts or produce realistic phishing messages in minutes. As AI is built into critical industries—such as healthcare, electricity, finance and transportation—to boost efficiency and productivity, exposure to greater risks increases. A security breach in any of these sectors can spread quickly, affecting not just businesses but also people’s health and safety.
With AI adoption outpacing these pillars of oversight, organizations leave themselves open to security, operational and reputational risks.
The stakes are getting higher.
Threat actors have identified this oversight gap in AI and are already exploiting it. For example, they’re using AI to create deepfake audio clips with just a few prompts or produce realistic phishing messages in minutes. As AI is built into critical industries—such as healthcare, electricity, finance and transportation—to boost efficiency and productivity, exposure to greater risks increases. A security breach in any of these sectors can spread quickly, affecting not just businesses but also people’s health and safety.
