IBM has introduced an industry-first solution that fully integrates its watsonx.governance and Guardium AI Security tools to provide a unified platform for managing both governance and security of agentic AI systems at scale. As enterprises increasingly deploy autonomous AI agents, IBM’s integration offers a holistic risk-management framework combining automated red-teaming to identify and resolve vulnerabilities, compliance validation across 12 frameworks (including the EU AI Act and ISO 42001), and detection of AI use cases across cloud environments, code repositories, and embedded systems—thanks to a partnership with AllTrue.ai—while enabling governance workflows to trigger automatically. The platform monitors the full agent lifecycle—from development through deployment—with embedded evaluation nodes tracking metrics like answer relevance, context relevance, and faithfulness, and will soon support agent onboarding risk assessment, audit trails, and an agent-tool catalogue by June 27.
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Additionally, watsonx.governance Compliance Accelerators, available now as an add-on, offer pre-loaded regulatory mappings for global standards such as the U.S. Federal Reserve’s SR 11‑7, New York City Local Law 144, ISO/IEC 42001, and the NIST AI Risk Management Framework. Complementing the technology, IBM Consulting Cybersecurity Services supports organizations throughout their AI transformation journey—from discovery of AI deployments and vulnerabilities to implementation of secure-by-design practices and tailored governance guidance. The platform is now available globally, including on AWS data centers in India, reinforcing IBM’s commitment to enabling responsible AI adoption worldwide. Through this pioneering integration, IBM empowers enterprises to embed security and compliance into AI agent deployments, offering visibility across complex, distributed environments, reducing risk, and fostering trust in autonomous systems.