Singapore AI Governance Hub
Precision governance for the Smart Nation. Three world firsts. Seven regulators. One ecosystem.
Singapore’s Precision Governance Model
Three principles separate Singapore’s approach from every other national AI governance strategy.
Voluntary, Not Weak
AI governance frameworks are voluntary. However, underlying sector legislation (PDPA, MAS regulations, Cybersecurity Act) is enforceable. Regulators may reference framework alignment when assessing conduct under their statutory powers.
Sector-Led, Not Siloed
Existing regulators (MAS, MOH, CSA) govern AI within their domains. IMDA provides the cross-cutting framework layer that ties it together. No single AI regulator, no gaps.
Tools Before Rules
AI Verify testing toolkit launched before prescriptive legislation. Practical implementation over compliance theater. Build the infrastructure, then write the rules around it.
Explore Singapore AI Governance
Nine deep-dive sections covering every dimension of Singapore’s AI governance ecosystem.
Model AI Governance Framework
Four areas, two principles, agnostic by design. The anchor framework since 2020.
GenAI and Agentic AI Frameworks
Nine trust dimensions for GenAI (2024) plus four governance dimensions for autonomous agents (2026).
AI Verify and Testing
The world’s first government AI testing toolkit. 11 principles, open-source, 180+ foundation members.
PDPA and Personal Data
Singapore’s binding data protection law plus 2024 AI Advisory Guidelines. Consent-based, not rights-based.
MAS Financial AI
FEAT Principles, Veritas Toolkit, MindForge, and AI Risk Management Guidelines for banks and insurers.
Cybersecurity and Sectors
CSA security guidelines, MOH healthcare AI, CCCS competition toolkit, MinLaw legal sector guide.
ASEAN Regional
ASEAN Guide (2024), Expanded GenAI Guide (2025), Responsible AI Roadmap 2025-2030, and DEFA.
Singapore vs. Global
Side-by-side: Singapore vs. EU AI Act vs. NIST AI RMF vs. ISO 42001 vs. China.
Templates and Tools
6 downloadable tools: checklists, decision trees, regulatory mappings, and self-assessment templates.
Where Should You Start?
Three personas, three paths through Singapore’s governance ecosystem.
Start with the Model Framework, then AI Verify for testing readiness. Download the Self-Assessment Checklist.
Start with Model Framework →Start with Singapore vs. Global for cross-jurisdiction mapping, then GenAI/Agentic for the latest frameworks. Download the Regulatory Mapping tool.
Start with Singapore vs. Global →Start with GenAI and Agentic AI Frameworks for your LLM product, then AI Verify for testing. Download the Governance Setup Guide.
Start with GenAI Frameworks →Singapore AI Governance Timeline
A decade of governance innovation, mapped like the MRT lines that connect this city-state.
Singapore’s AI Regulatory Ecosystem
Seven bodies, each governing AI within their domain. Together, full coverage without a single omnibus regulator.
Infocomm Media Development Authority
National AI policy lead. Develops Model AI Governance Frameworks, AI Verify toolkit, and NAIS.
Personal Data Protection Commission
Enforces PDPA. Issues AI advisory guidelines. Co-developed ISAGO self-assessment guide with the World Economic Forum.
Monetary Authority of Singapore
Financial sector AI governance. FEAT Principles, Veritas Toolkit, MindForge, AI Risk Guidelines.
Cyber Security Agency
AI systems security. Guidelines plus Companion Guide (2024), Agentic AI Addendum (2026).
Ministry of Health / Health Sciences Authority
Healthcare AI. AIHGle 2.0 guidelines for safe AI development and deployment in health settings.
Competition and Consumer Commission
Competition and consumer protection. AI Markets (AIM) Toolkit built on AI Verify platform.
Ministry of Law
Legal sector governance. Guide for Using GenAI in the Legal Sector (March 2026).
Singapore vs. Global AI Frameworks
Twelve dimensions where Singapore’s approach diverges from the EU and U.S. models.
| Dimension | Singapore | EU AI Act | NIST AI RMF |
|---|---|---|---|
| Approach | Voluntary frameworks | Binding legislation | Voluntary framework |
| Risk Classification | Proportionate, context-based | 4-tier mandatory | Risk-based, flexible |
| Enforcement | Sectoral regulators | EU AI Office + national authorities | None (guidance only) |
| Testing Toolkit | AI Verify (government-built) | Conformity assessment | Playbook (no toolkit) |
| Agentic AI | Dedicated framework (Jan 2026) | Not explicitly addressed | GenAI Profile only |
| Data Protection | PDPA (consent-based, 2012) | GDPR (rights-based, 2016) | N/A |
| Financial Sector | MAS FEAT + Veritas + MindForge | AI Act Annex III Area 5 (credit scoring, insurance) + financial sector regulation | SR 11-7 (model risk) |
| Cross-Framework Map | IMDA-NIST Crosswalk (2023) | ISO 42001 harmonization | AI RMF Crosswalks |
| Enforcement Penalties | Underlying laws enforceable: PDPA (up to SGD 1M / 10% turnover), MAS supervisory actions, Cybersecurity Act penalties. AI governance frameworks themselves are voluntary. | Up to 35M EUR or 7% global turnover | None (voluntary) |
| Incident Reporting | Sector-specific (MAS, PDPC breach notification) | Mandatory for high-risk (Art. 73: 2 days critical infrastructure, 10 days death, 15 days other) | Recommended (MANAGE function) |
| Cross-Border Data | PDPA transfer mechanisms | GDPR adequacy + SCCs | Not addressed |
| Conformity Assessment | AI Verify self-assessment | Third-party for high-risk biometric/CI | Self-assessment only |
Governance Toolkit
Practical tools built from Singapore’s official frameworks. Download, fill in, and implement.
Model Framework Self-Assessment Checklist
Map your AI governance posture to the four key areas of the Model AI Governance Framework.
AI Verify Readiness Assessment
Pre-test your AI system against AI Verify’s 11 testable principles before running the toolkit.
Singapore vs. EU vs. NIST Regulatory Mapping
Side-by-side control mapping across 3 governance frameworks with gap indicators.
PDPA AI Compliance Checklist
Ensure your AI system meets PDPA obligations and the 2024 advisory guidelines.
MAS FEAT Self-Assessment Template
Evaluate your financial AI against Fairness, Ethics, Accountability, and Transparency principles.
GenAI and Agentic AI Governance Setup Guide
Step-by-step implementation guide covering 9 GenAI trust dimensions and 4 agentic governance areas.