Masterclass: Governing AI Agents

Agentic AI deployment is rapidly increasing, with companies planning significant use in workflows and research. However, a substantial gap exists between the adoption of AI agents and the implementation of mature governance models to address associated risks. Cybersecurity, trust, oversight, and legal concerns are major challenges hindering value realization from AI agents.

• Agentic AI adoption is on the rise, with many companies deploying or planning to deploy agents for multi-stage workflows and research.
• Coding agents are identified as the fastest-growing use case for agentic AI.
• There is a significant gap between the deployment of AI agents and the existence of mature governance models, leading to new risks and vulnerabilities.
• Companies face challenges such as cybersecurity, lack of trust, human oversight, accountability, compliance, and legal concerns regarding AI agents.
• A new Masterclass on Agentic AI Governance is being launched, based on Singapore’s Model AI Governance Framework for Agentic AI.
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