MAS AI Guidelines vs ISO 42001: what they share and how they differ
MAS AI Guidelines and ISO 42001 share 12 of 24 control themes and 10 checks. 54% of ISO 42001 requirements can be proven with checks MAS AI Guidelines already uses, 73% the other way round.
Under discussion
MAS AI Guidelines
Preparing for the MAS AI risk management guidelines
11 requirementsNext Dec 2026
Voluntary
ISO 42001
How to prepare for ISO/IEC 42001 certification
13 requirementsNext Dec 2026
12/24shared control themes
10shared checks
54%of ISO 42001 requirements covered by MAS AI Guidelines evidence
73%of MAS AI Guidelines requirements covered by ISO 42001 evidence
At a glance
| MAS AI Guidelines | ISO 42001 | |
|---|---|---|
| Jurisdiction | Singapore | International |
| Kind | Supervisory guidelines | Certifiable standard |
| Status | Under discussion | Voluntary |
| Binding | No same | No same |
| Object analysed | AI system | Organisation |
| Scope | All financial institutions supervised by MAS (banks, insurers, asset managers, intermediaries). | Organisations providing or using AI systems. |
| Territorial reach | Financial activities in Singapore, including branches of foreign groups. | International. |
| Penalties | No penalty of their own. Once issued, they are supervisory expectations checked in inspections; shortcomings can lead to supervisory action. | None; certification lost or refused. |
| Qualification axes | Use-case risk materiality (impact, complexity, reliance) | System impact level (Cl. 6.1.4) |
| Roles | Financial institution | Provider, User, Producer |
| Requirements | 11 | 13 |
| Next milestone | Dec 2026, Expected issuance of the final guidelines | Dec 2026, CEN-CENELEC JTC 21 harmonised standards for the AI Act (prEN 18286 QMS) |
Theme by theme
requirements per theme
MAS AI GuidelinesISO 42001
Governance
Assessment
Build
People & use
Lifecycle & third parties
What they share: one piece of evidence, two frameworks
10
| Code | Check | Requirements MAS AI Guidelines | Requirements ISO 42001 |
|---|---|---|---|
| CHK-EXEC-ACCOUNT | Executive leadership is accountable for AI risk decisions (board committee, risk appetite) | ||
| CHK-POL-RISK | An AI risk-management policy and process are established through transparent, documented controls | ||
| CHK-ROLES-CLARIFIED | Roles, responsibilities and delegated authorities are documented and clear to relevant stakeholders | ||
| VER-003-01 | Documented and up-to-date risk register | ||
| VER-004-01 | Documented data governance (collection process, bias, quality) | ||
| VER-008-03 | Competent overseers assigned to the system | ||
| CHK-TEVV | TEVV plan, test sets, metrics and data considerations are documented | ||
| VER-005-01 | Complete technical documentation compliant with Annex IV | ||
| CHK-THIRDPARTY-POL | Policies address third-party AI/data risks, incl. IP, transparency and testing | ||
| CHK-TRAINING | Personnel and partners receive AI risk-management training |
Differences: requirements specific to each framework
Requirements with no check serving the other framework: the extra work.
MAS AI Guidelines
3
MAS-5.1
MAS-6.6
ISO 42001
6
ISO-4.3
Scope of the AIMS Cl. 4.3, 4.4
ISO-5.2
AI policy Cl. 5.2, A.2
ISO-6.1.4
AI system impact assessment Cl. 6.1.4, A.5
ISO-9
Internal audit and management review Cl. 9.2, 9.3
ISO-10
Timelines
PastSet in the textPotentialTo verify
Nov 12, 2018MAS AI Guidelines · FEAT principles (fairness, ethics, accountability, transparency)
Dec 18, 2023ISO 42001 · ISO/IEC 42001 published
Dec 2024MAS AI Guidelines · Information paper on AI model risk management
May 2025ISO 42001 · ISO/IEC 42005 (impact assessment)
Jul 2025ISO 42001 · ISO/IEC 42006 (certification bodies)
Nov 13, 2025MAS AI Guidelines · Public consultation on the guidelines
Jan 31, 2026MAS AI Guidelines · Consultation closes
Dec 2026MAS AI Guidelines · Expected issuance of the final guidelines
Dec 2026ISO 42001 · CEN-CENELEC JTC 21 harmonised standards for the AI Act (prEN 18286 QMS)
Dec 2027MAS AI Guidelines · End of the 12-month transition (if issued late 2026)
Run these requirements across all your AI systems
TrustFlow inventories your systems, qualifies them under each regulation and collects evidence once for every referential.