Presenting Speakers
About the Session
In 2026, RegTech is entering a new era — one driven by a new, divergent RegRisks. Powered by AI and driven by the urgent need for smarter, faster, and more resilient approaches to compliance. The rise of Large Language Models (LLMs) and intelligent automation is opening new pathways for implementing regulatory reforms not just more efficiently — but more effectively and safely.
PJ Di Giammarino, Founder and CEO of RegRisk Legal Solutions, will offer a global perspective on the global framework to navigate a firm’s risks, what is working, what’s missing and what could be dramatically improved if we fully embrace the potential of AI, standards, for RegRisk Control.
Regulatory Challenges
- Trading: Transparency, Digital Assets, Market data, algo testing
- Conduct risk: Consumer duty/ ESG; AML/CFT/Sanctions; Market abuse; Comms surveillance; accountability
- Risk and data collection: Basel III/ IV, FRTB, ESG; 2028/9 EU/US data dictionaries and reporting rewrites
- Technology risk management: Op Res, AI, Cyber, TPRM
- Compliance: Horizon scanning, ECB SREP
New RegTech/SupTech drivers
- Premium – Supervision Gets Serious: 2026 is the Governance Test here
- Premium – UK 2026: Can you Prove Control here
- Premium – UK SS 5/25 Forces Climate Risk as Infrastructure here
- Premium – The RegTech Edge: Navigating your RegRisk Radar in 2026 here
- UK Summary of AI roundtables – February 2026 here
- US FS AI Lexicon here & AI Risk Management Framework here
- ESMA AI adoption and trends in securities markets here
- US Fed: AI, Fintechs, and Banks here
- HKMA: Financial Services in the Era of Generative AI here
- BIS Artificial Intelligence Supervisory Enhancer (AISE) here
- BoE: AI in the financial system here