IBM is announcing the industry’s first software to bring AI security and AI governance teams together and provide a unified view of enterprises’ risk posture. The new capabilities enhance and integrate watsonx.governance and Guardium AI Security to help clients keep their AI systems, including agents, secured and responsible at scale. Watsonx.governance is IBM’s end-to-end AI governance tool and Guardium AI Security is IBM’s tool for securing AI models, data, and usage. IBM is enhancing the integration of IBM Guardium AI Security and watsonx.governance, providing enterprises with the first unified solution to manage security and governance risks associated with AI use cases. The integration supports users’ processes to validate compliance standards against 12 different frameworks. IBM is also introducing new capabilities to Guardium AI Security through a collaboration with AllTrue.ai, including the ability to detect new AI use cases in cloud environments, code repositories, and embedded systems –providing broad visibility and protection in an increasingly decentralized AI ecosystem. Once identified, IBM Guardium AI Security can automatically trigger appropriate governance workflows from watsonx.governance. IBM watsonx.governance can now monitor and manage AI agents across their entire lifecycle, from development to deployment. Evaluation nodes can be built directly into agents, allowing users to carefully monitor metrics like answer relevance, context relevance, and faithfulness – and help identify the root cause of poor performance. IBM watsonx.governance Compliance Accelerators provide select pre-loaded regulations, standards, and frameworks from around the globe, enabling users to identify relevant obligations and map them onto their own AI use cases. IBM Consulting Cybersecurity Services is introducing a new set of services that brings together data security platforms, like IBM Guardium AI Security, with deep AI technology and domain consulting.