πŸ‡ΈπŸ‡¬Singapore β€” APAC AI Regulation

Singapore MAS FEAT & AI Governance

Meet Singapore's MAS FEAT principles, Technology Risk Management guidelines, PDPA obligations, and Model AI Governance Framework requirements β€” with automated compliance built for Singapore-regulated organisations.

Regulatory Landscape

Key Singapore Regulations

MAS FEAT Principles

Fairness, Ethics, Accountability & Transparency

In Force

MAS's foundational AI governance principles for financial institutions β€” establishing expectations for fairness in AI-driven decisions, ethical AI use, clear accountability structures, and transparency with customers and regulators on AI system behaviour.

MAS TRM Guidelines

Technology Risk Management Guidelines

In Force

Comprehensive technology risk management framework covering AI model risk, algorithmic decision-making, cybersecurity, cloud governance, and third-party technology risk for MAS-regulated financial institutions.

PDPA (Amended 2021)

Personal Data Protection Act

In Force

Singapore's primary data protection law, strengthened by 2021 amendments. Introduces mandatory breach notification (3 days to PDPC, 30 days to affected individuals), enhanced enforcement powers, and data portability obligations.

Model AI Governance Framework

IMDA / PDPC Model AI Governance Framework

Active

Singapore's voluntary but widely adopted AI governance framework β€” providing detailed guidance on internal governance, human involvement in AI decisions, operations management, and stakeholder interaction for AI system operators.

AI Verify Foundation

AI Testing & Governance Toolkit

Active

Singapore's AI governance testing framework and toolkit, developed by IMDA β€” enabling organisations to test and demonstrate responsible AI practices across 11 AI ethics principles with structured assessment methodologies.

MAS Circular on AI

MAS Circular on Responsible Use of AI

In Force

MAS guidance on responsible AI deployment in financial services β€” covering model explainability, bias testing, human oversight, and board-level accountability for AI systems used in credit, insurance, and investment decisions.

Compliance Obligations

What Organisations Must Do

FEAT Principles compliance β€” fairness, ethics, accountability, and transparency for financial AI
MAS TRM technology risk management and AI model risk governance
PDPA breach notification β€” 3 days to PDPC, 30 days to affected individuals
Data Protection Officer (DPO) appointment and PDPC registration
AI Verify assessment for responsible AI governance demonstration
Model AI Governance Framework alignment for AI system operators
Algorithmic explainability and bias testing for AI-driven financial decisions
Board-level AI governance accountability and MAS examination readiness

How DotCoAi Helps

Built for Singapore Compliance

MAS FEAT & TRM Compliance

Comprehensive MAS FEAT principles assessment and TRM compliance β€” AI model risk framework, examination-ready documentation, and continuous monitoring for MAS-regulated institutions.

Model AI Governance Framework

Structured implementation of Singapore's Model AI Governance Framework β€” internal governance structures, human-in-the-loop controls, and stakeholder transparency documentation.

PDPA Breach Notification

Automated incident detection and structured breach notification workflows β€” 3-day PDPC notification and 30-day individual notification aligned to amended PDPA requirements.

AI Verify Readiness

Gap analysis and remediation support for AI Verify assessments β€” testing AI systems across IMDA's 11 AI ethics principles with audit-ready evidence packages.

Algorithmic Fairness & Explainability

Bias testing, fairness assessments, and explainability documentation for AI-driven credit, insurance, and investment decisions β€” aligned to MAS and FEAT expectations.

Regulatory Change Monitoring

Continuous monitoring of MAS, PDPC, and IMDA regulatory developments β€” automated alerts and impact assessments as Singapore's AI governance framework evolves.

Get Started

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