Singapore's Agentic AI Governance Framework | AI Governance

Last Update: 09/28/2026 at 11:34 PM EST

Coverage from Newclawtimes, Resultsense, and others

Singapore's Model AI Governance Framework for Agentic AI is developing from high-level principles into lifecycle controls for autonomous systems, including bounded permissions, human oversight, testing, logging, and continuous monitoring.

Updated guidance extends to multi-agent and third-party systems, while banking examples connect the framework to operational risk and regulatory testing.

Looking Back

58 Day Timeline

Articles published over time. Hover any bar for the period and its article count.

Jun 11

Jun 21

Jun 29

Jul 9

Jul 19

Jul 27

Aug 6

All Articles3 articles

Important1 article · CI Score 60 and above

Newclawtimes

Singapore Reframes Agentic AI As A Distinct Governance Risk

Singapore published a model AI governance framework at the World Economic Forum, defining agentic AI as self-managing systems and proposing bounded autonomy and zero-trust controls.

6/11/2026 • Standards • General

Interesting2 articles · CI Score 45–59

Resultsense

Singapore's Agentic AI Framework Makes Testing A Governance Core

Singapore's MDA regulator published an agentic AI governance framework requiring organizations to test, constrain, and continuously monitor autonomous systems as banks expand deployments.

8/7/2026 • Standards, Auditing & Safety Frameworks • General

Baker McKenzie

Singapore IMDA Updates Agentic AI Governance Framework

Singapore's IMDA updated the agentic AI MGF on 20 May 2026, adding lifecycle technical controls, human accountability metrics, and expanded multi-agent and third-party agent risk guidance.

6/23/2026 • Standards • General