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Singapore IMDA Model AI Governance Framework for Agentic AI (version 1.5, 20 May 2026)

Voluntary guidance for organisations deploying AI agents in four dimensions: assess and bound risks upfront, make humans meaningfully accountable, implement technical controls, and enable end-user responsibility. It recommends least-privilege tool and data access with deterministic limits, issued agent identities, sandboxed execution, a way to take agents offline, human approval at defined checkpoints such as irreversible actions, monitoring with alert thresholds, logging, and testing before deployment.

Infocomm Media Development Authority of SingaporeSingapore (voluntary guidance)International standards and guidanceguidanceSoftware agentsAgents moving moneyText of the rule ↗

Status launched January 2026; version 1.5 published 20 May 2026 (document updated 5 June 2026)

Scope. Voluntary official guidance; listed as a widely used governance framework that US buyers and auditors reference, not as a binding rule.

Draft mapping. Drafted by the Register's agents from the rule's text and not yet confirmed by a person. It is the Register's reading, not legal advice: whether and how the rule applies to you is a question for counsel.

Controls this rule maps to

Required by the text The rule's text requires a measure that is this control, or plainly includes it. Implied A binding rule whose purpose needs this control, but whose text does not name it. The Register's reading. Recommended A voluntary standard or guidance recommends it; nothing binds you to it. Proposed Appears in a proposed rule or proposed provision that is not yet in force.

ControlStrengthWhere in the rule, and whyConfidenceMissing or failed in
Least-privilege credential scoped to task C-E1RecommendedSection 2.1.2 (p. 19): 'Define least-privilege policies that give agents only the minimum tools and data access needed'. [Checker: Section 2.1.2, p. 19 (verified).]high5 cases
Machine-enforceable scope C-M2RecommendedSection 2.1.2 (p. 19): 'prefer deterministic rather than non-deterministic limits, and bound by design'. [Checker: Section 2.1.2, p. 19 (verified).]medium9 cases
Destructive-action gate C-E3RecommendedSection 2.2.2 (p. 29): 'define significant checkpoints or action boundaries that require human approval', listing 'Irreversible actions e.g. permanently deleting data, sending communications, making payments'. [Checker: Section 2.2.2, p. 29 (verified).]high12 cases
Containment and isolation C-E5RecommendedSection 2.1.2 (p. 19): 'running agents in self-contained environments with limited network and data access'; section 2.3.1 (p. 34): 'Sandbox any code execution'. [Checker: Section 2.1.2, p. 19 and section 2.3.1, p. 34 (verified).]high7 cases
Kill switch faster than the actor C-X2RecommendedSection 2.1.2 (p. 19): 'Design mechanisms and procedures to take agents offline and limit their potential scope of impact'. Speed of the stop is not addressed. [Checker: Section 2.1.2, p. 19 (verified).]medium2 cases
Actor identity verification C-A1RecommendedSection 2.1.2 (p. 23): 'all agent identities (and their attendant permissions) should be issued' through a managed process to prevent agent sprawl. [Checker: Section 2.1.2, p. 23 (verified).]medium8 cases
Warnings designed as alerts C-I4RecommendedSection 2.2.2 (p. 29): 'Complement this with automated monitoring mechanisms and predefined alert thresholds'; (p. 30) 'Implementing alerts for certain logged events'. [Checker: p. 29 (the phrase 'Complement this with automated monitoring mechanisms and predefined alert thresholds' is a figure caption) and p. 30 (verified).]medium4 cases
Independent audit log C-V1RecommendedIMDA case study within the framework (p. 14): 'After deployment, ensure all agent actions are logged and attributable'; section 1.1.1 (p. 7) describes logging of agent actions, decisions and interactions. The framework text read does not say the log must be beyond the agent's reach. [Checker: p. 14 IMDA case study (verified).]medium1 case
Mandate disclosed to supervisor C-M1RecommendedExecutive Summary (p. 3): 'as a baseline, users should be informed of the agent's range of actions'. [Checker: Executive Summary, p. 4 of the PDF (the draft says p. 3; the quotation is on PDF page 4).]medium1 case
Retrieved content as data C-I1RecommendedSection 2.3.1 (p. 34): 'input validation to catch harmful responses before they are acted upon'; section 1.2.1 (p. 10) names prompt and code injection through tools as a risk. Does not say retrieved content is to be treated as data only. [Checker: Section 2.3.1, p. 34 (verified).]low10 cases
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