For speaking opportunities or registration please contact admin@regrisksolutions.com
This event produces strategic conversations on how financial institutions can execute successful RegTech collaboration that leverages standard industry tools.
2026 Objective
Billions will be spent as ‘how’ operations are conducted is pulled into scope for all FS actors. In this conference, regulators, financial institutions and their suppliers will articulate the key challenges of deploying new AI-driven solutions to regulatory demands via better, faster, cheaper and safer RegTech.
2026 Panels
RegTech 9 is covering real opportunities for collaboration, standards, mutualisation that are ‘here now’. Come help shape the agenda!
Target Audience
TradFi and Digtal asset firms: Front office; Middle office risk, legal and compliance, regulatory SMEs: heads of regulatory change;
Back office: technology, data; Executive decision-makers: CDOs, CIOs, CAOs, COOs
Policy makers and regulators: Market policy, Financial Crime, Data privacy, Regulatory reporting .
For speaking opportunities or to register interest in attending please Contact Us
About the session
Regulatory Challenges
New RegTech/SupTech drivers
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
About the session
Supervisors are under pressure to deliver faster, higher data quality and lower reporting burden while leveraging AI data fabrics at the same time. Across Europe and the UK, collections have grown into hundreds of siloed templates that are hard to integrate and expensive to maintain.
The ECB’s BIRD, DPM 2.0 and IReF work, the PRA’s Future Banking Data initiative and market standards such as CDM and DRR all point toward a common answer. The next reporting backbone has to be built on shared measurements, coherent collections and a semantic model that links statistics, prudential and market data in a consistent way.
This panel brings together supervisors and banks to explore how top-down design, common definitions and model governance can improve both quality and efficiency in 2026. The focus will be on engineering priorities and practical steps, not new forms. What should supervisors ask for, and what can banks realistically build, in the next cycle?
Regulatory Challenges
New RegTech/SupTech drivers
About the session
As Europe prepares for the next phase of Market Integration Package (MIP) reporting reforms and CP25/3 resets the FCA’s agenda in 2026, supervisors and firms face the same problem from different angles. Costs and complexity for 15 billion transaction reports pa have risen, and yet supervisors still struggle to obtain timely, consistent data for effective risk analysis.
This panel will explore MiFIR transaction reporting as a test case for FCA and ESMA’s burden reduction and data strategies. It will examine how a runbook architecture, grounded in the Common Domain Model (CDM) and Digital Regulatory Reporting (DRR), can help move from fragmented national regimes to a more coherent, reusable framework.
Rather than treating MiFIR as a divergent ruleset, this session will look at how regulators, market infrastructures and firms can co-design a MiFIR runbook that reduces burden, strengthens convergence and provides a pathway for wider EU reporting reforms.
Regulatory Challenges
New RegTech/SupTech drivers
Director - Practice Lead - Transaction Reporting and Regulatory Solutions
About the session
Regulatory Challenges
New RegTech/SupTech drivers
About the session
Supervisory reporting reform has moved into execution. With the FCA advancing toward MiFIR implementation in 2026, firms and regulators must operate legacy reporting systems, deliver new architectures, and meet rising supervisory expectations at the same time.
This panel focuses on where transition risk concentrates. As old and new regimes run in parallel, data quality, validation logic, and control ownership come under strain. The discussion will examine how shared semantic standards, including CDM, BIRD, IReF and Digital Regulatory Reporting, can stabilise reporting during change through common definitions, reusable logic, and consistent testing.
The session will also explore how lessons from UK MiFIR delivery can inform ESMA’s next phase and support a more integrated EU data strategy across market, prudential, and statistical reporting.
The objective is practical and shared. How do supervisors and firms keep reporting safe, trusted, and usable while the engine is being replaced at altitude?
Regulatory Challenges
New RegTech/SupTech drivers
About the session
This morning we examined how reporting backbones, data quality and transition risk are being rebuilt in-flight. But reporting reform is only one expression of a far larger and accelerating systemic shift. In a digital supervisory environment, data determines capital, compute determines trust, and sovereignty defines the perimeter of control. Supervision is now correlating datasets and testing behaviour in production, not auditing policy intent.
If data is capital and compute is trust, is your governance architecture accelerating capital velocity, or quietly slowing it down?
Regulatory Challenges
About the session
Regulatory Challenges
New RegTech/SupTech drivers
About the session
Regulatory Challenges
New RegTech/SupTech drivers
About the session
MAS has moved first by making AI governance examinable at board level. But the signal is wider. Under DORA, global OpRes regimes, outsourcing and critical third-party oversight, cloud portability and concentration expectations, cyber resilience frameworks, and tightening AI and data protection guidance, sovereignty is no longer just about data location. It now means lawful and continuous control over access, behaviour, and exit.
The panel will ask one hard question: in an AI- and cloud-driven firm, can you demonstrate that control under supervisory challenge, or will regulators conclude that you cannot?
In 2026, sovereignty ceases to be a compliance discussion and becomes a prudential judgement on whether your operating model deserves capital confidence.
Regulatory Challenges
New RegTech/SupTech drivers
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
New RegTech/SupTech drivers
About the session
Regulatory Challenges
New RegTech/SupTech drivers
About the session
In 2026, supervisors are no longer judging firms by the volume of suspicious activity reports or surveillance alerts, but by whether their control architecture can evidence consistent, traceable behaviour across AML, market abuse, communications and AI-driven analytics under examination.
Alerts are no longer the test. Architecture is. Surveillance, AML land control architects debate why AML and surveillance still operate as parallel regimes, whether AI will converge or compound those silos, and what “good” market integrity looks like when supervisors assess systems rather than outcomes.
The central question is stark: is your market integrity framework a collection of alerts, or a control architecture you can defend when regulators test your data, your models and your governance in combination?
Regulatory Challenges
New RegTech/SupTech drivers
About the session
Regulatory Challenges
New RegTech/SupTech drivers
