Global Trustee and Fiduciary Services Bite-Sized Issue 4 2026

5 QUICK LINKS CMU CONDUCT CRYPTO ASSETS EMIR FINTECH FUND LIQUIDITY IOSCO OPERATIONAL RESILIENCE SUSTAINABLE FINANCE/ESG T+1 ASIA EUROPE LUXEMBOURG NORTH AMERICA UNITED KINGDOM Global Trustee and Fiduciary Services Bite-Sized | Issue 4 | 2026 • Financial Growth : aiming to support individuals and businesses with data-driven insights for planning and growth, underpinned by diverse, standardised datasets including pensions, SME forecasts, and tax records; • Financial Resilience : seeking to help users manage financial shocks through early warnings and AI support, integrating financial and non-financial data, such as health and employment, securely and in real time; and • Digital Identity and Verification : which has the potential to help unlock Open Finance by enabling secure access, real-time consent controls, and privacy-enhanced data sharing. Key use cases include improving access to finance for individuals and SMEs, enabling better financial planning, and supporting inclusive growth. Although it is not a formal consultation, DBT invites stakeholder input on a list of themes at the end of the paper. Link to Smart Data 2035: The UK’s Smart Data Strategy here MAS Partners Industry to Develop AI Risk Management Toolkit for the Financial Sector On 20 March 2026, the Monetary Authority of Singapore (MAS) announced the successful conclusion of phase two of Project MindForge, launched in 2023 with the aim of strengthening AI risk management for financial institutions, with the publication of an Artificial Intelligence (AI) Risk Management Toolkit for the financial services sector. The MAS said that the MindForge AI Risk Management Toolkit features an ‘AI Risk Management Operationalisation Handbook’ that provides detailed, practical guidance on implementing AI risk management frameworks. This handbook is accompanied by a supplement that features a compilation of AI case studies documenting the experiences and lessons learned from financial institutions. The MAS said that it is presently reviewing responses to an earlier public consultation on a set of Guidelines on AI Risk Management. The Operationalisation Handbook is organised into four sections, which are aligned with MAS’ proposed Guidelines: a. Scope and oversight – Establishment of AI governance framework, and clarity of roles and responsibility for AI oversight. b. AI risk management – Identification of AI usage, risk materiality assessment, and AI inventorisation through organisational systems, policies and procedures. c. AI lifecycle management – Implementation of controls covering the entire lifecycle of AI use. d. Enablers – Development of organisational capabilities, infrastructure, and resources to enable ongoing responsible AI use and risk management. The MAS said that the Operationalisation Handbook will be periodically updated as the use of AI in the industry matures and to reflect MAS’ supervisory expectations. Link to MAS Homepage here ASICUrges Gen Z to ‘Sense-check’ Money Advice as Social Media Fuels Riskier Financial Decisions On 16 March 2026, the Australian Securities & Investments Commission (ASIC) urged young Australians to ‘sense check’ the information they see online, as new research shows nearly two thirds of Gen Zs are using social media and about one in five are using AI to make decisions about their financial future. ASIC said that the Moneysmart Gen Z study found that while Gen Z has a strong appetite for reputable and trustworthy financial content, many struggle to find it – and their search often leads them to sources designed for engagement rather than accuracy. ASIC said that high levels of trust in often unreliable sources by some young Australians is contributing to riskier financial decisions such as investment in cryptocurrency based on limited or unproven information. ASIC warned that relying on a narrow range of sources – particularly unverified or promotional content – can increase financial risk, especially in an environment where markets and online trends move quickly and information is rarely tailored to individual circumstances.