The rationale behind the DLT Foundations Regulations, tokenholder rights, governance design, migration, and how foundations interface with regulated activities. Key takeaways: • How to structure a foundation or DAO with legal clarity • What is (and isn't) permitted; disclosures that matter • Paths to progressive decentralisation and credible governance
Risk classifications, model accountability, data provenance, auditability, and aligning AI assurance with existing financial-services controls. Key takeaways: • A practical governance toolkit for AI in regulated environments • How to align product teams, internal audit and regulators • What to prioritise in the next 12 months
From custody and disclosures to market abuse controls, interoperability and standards. Key takeaways: • Blueprint to launch tokenised products with compliance by design • Operational controls that convince boards and regulators • Metrics that matter to CFOs and risk committees
Principle- vs rule-based approaches; when to pilot; when to legislate; lessons from industry-regulator collaboration. Key takeaways: • How to de-risk innovation sprints • When to engage supervisors (and how) • Accelerating time-to-market responsibly
Timelines, threat models, standards, and migration playbooks for post-quantum security. Key takeaways: • Where quantum risk bites first • Practical migration steps without stalling transformation • Vendor and standardisation watch-outs