About the Session
Machine-to-machine systems are no longer theoretical. Billions of agents now influence workflows, decisions, and even markets. The question is no longer whether machines have agency, but who is accountable for the outcomes.
In regulated environments, autonomy without identity, permissions, provenance, and human oversight becomes systemic risk.
This session explores how firms can move from experimental AI to governed autonomy, building evidence chains, semantic control, and decision lineage that regulators, boards, and supervisors can trust.
Regulatory Challenges
- BaFin Guidance on ICT Risks in the Use of AI at Financial Entities here
- MAS Guidelines on AI Risk Management for Financial Institutions here
- Singapore Model AI Governance Framework for Agentic AI here
- UK ICO tech futures: Agentic AI here
- EU EDPS Agentic AI here
- EU Parliament AI and digital tools in workplace management and evaluation here
- WEF Regulatory technology for the 21st century here
- HKMA regulatory technology in AML here
- IOSCO innovation facilitators here
- BIS big techs vs banks here
- UK-Japan financial regulatory forum here
- EBA benefits, challenges and risks of RegTech in the EU here
New RegTech/SupTech drivers
- Analysis: Engineering Digital Assurance for GenAI here
- Premium: MAS Asks Boards to Prove Total AI Control here
- Analysis: Accountability for GenAI here
- Analysis: RegTech for clean controls here
- Analysis – The rise of digitally native compliance here
- RegCast: Digitizing Compliance’s many dashboards here
- RegCast: TegTech from Horizon to controls here
- RegCast: Digital Compliance here