IBM has introduced a groundbreaking software, the first of its kind in the industry, that unites AI security and AI governance teams. This software offers a comprehensive view of an enterprise's risk posture.
"AI agents are set to revolutionise enterprise productivity, but the very benefits of AI agents can also present a challenge," said Ritika Gunnar, general manager of data and AI IBM. "When these autonomous systems aren't properly governed or secured, they can carry steep consequences."
New offerings
By enhancing the integration of IBM Guardium AI Security and watsonx.governance, IBM seeks to provide the first unified solution to manage security and governance risks associated with AI use cases.
Through a collaboration with AllTrue.ai, IBM also unveiled capabilities to detect new AI use cases in cloud environments, code repositories, and embedded systems for broad visibility and protection.
IBM Guardium AI Security is designed to automatically trigger appropriate governance workflows from watsonx.governance. It also automates red teaming to detect and fix vulnerabilities and misconfigurations across various AI use cases. The tool empowers users to define custom security policies that analyse both input and output prompts, enhancing risk mitigation.
Agentic AI evaluation and lifecycle governance
IBM watsonx. governance can now monitor and manage AI agents across their entire lifecycle, from development to deployment through evaluation nodes, which can be built directly into agents.
By June 27, IBM is set to introduce several new features, including agent onboarding risk assessment, agent audit trails, and an agentic tool catalogue.
Off-the-shelf compliance capabilities
IBM watsonx.governance Compliance Accelerators claim to provide select pre-loaded regulations, standards, and frameworks to help identify relevant obligations and map them onto their AI use cases.
