IBM launched the industry’s first unified software platform to secure and govern agentic and generative AI systems across the enterprise.
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| IBM introduces a breakthrough AI platform that combines governance and security tools, enabling organizations to manage risks and compliance for agentic AI. Image: IBM |
ARMONK, N.Y., USA — June 18, 2025:
IBM has announced the launch of the industry’s first unified platform that combines AI governance and security into a single, integrated solution. This groundbreaking software addresses the urgent need for enterprises to manage the growing risks and regulatory challenges associated with scaling agentic and generative AI systems.
The new platform merges IBM’s watsonx.governance, an end-to-end AI governance tool, with Guardium AI Security, a solution designed to protect AI models, data, and usage. This integration enables businesses to oversee their entire AI ecosystem with a unified view of security posture and compliance obligations. As organizations deploy autonomous AI agents to boost productivity, IBM's offering supports them in identifying vulnerabilities, preventing shadow AI, and automating security workflows to stay ahead of threats.
According to Ritika Gunnar, General Manager of Data and AI at IBM, the rise of agentic AI demands that organizations embed security and governance from the start. Without it, the same capabilities that drive innovation could introduce significant risks. The integrated platform helps enterprises validate their AI systems against twelve major frameworks, including the EU AI Act and ISO 42001, ensuring regulatory compliance at scale.
IBM has also introduced advanced capabilities in partnership with AllTrue.ai, including tools to detect and analyze AI use cases across cloud environments, code repositories, and embedded systems. Once identified, the platform can automatically launch governance workflows to mitigate risks. Additional features such as automated red teaming, input-output prompt analysis, and customizable security policies help prevent issues like code injection and data leakage.
Beyond real-time monitoring, the platform allows organizations to govern the complete lifecycle of AI agents—from development to deployment. New capabilities include embedded evaluation mechanisms that assess relevance, context, and factual accuracy, while future updates will introduce agent onboarding assessments, audit trails, and curated AI tool catalogs.
To simplify compliance, IBM is offering watsonx.governance Compliance Accelerators, which provide pre-loaded regulatory content from global standards and laws, including New York City Local Law 144 and the U.S. Federal Reserve’s SR 11-7. This allows organizations to map these obligations directly onto their AI workflows.
To help clients scale AI responsibly, IBM Consulting Cybersecurity Services is launching specialized support that combines security platforms like Guardium AI Security with IBM’s AI consulting expertise. These services are designed to guide clients through every step of AI adoption, from identifying risk to deploying secure-by-design practices aligned with evolving regulations.
IBM has also made watsonx.governance available on AWS data centers in India, expanding its accessibility with enhanced model monitoring and regulatory alignment in key markets.
With this launch, IBM strengthens its position as a leader in responsible AI innovation, delivering tools that support enterprise-grade security, transparency, and trust in the era of agentic AI.