September 23 , 13:15-14:30
September 24 , 14:15-15:30
September 23 , 11:30-12:45
This roundtable examines how financial institutions should build cybersecurity capabilities in a world where both attackers and defenders are increasingly AI-enabled, and where quantum risk is shifting from a theoretical concern to a practical infrastructure migration challenge.
The common denominator is resilience: how to protect financial infrastructure when attacks occur at machine speed, when trust in digital agents becomes a new attack surface, and when encrypted data captured today may become vulnerable in the future.
Topics such as AI-driven cyber defense, autonomous detection and response, large-scale social engineering, data integrity risks, crypto-agility, cryptographic inventory, and migration sequencing illustrate the scope of the discussion.
September 23 , 14:45-16:00
This roundtable explores how insurance operating models evolve when AI agents are able to interpret customer needs, collect documentation, assess risk, trigger underwriting decisions, detect fraud, settle claims, support brokers and advisors, and coordinate workflows across legacy systems. A central theme is the shift from periodic, document-based underwriting to continuous, data-rich risk intelligence. IoT, mobility data, health signals, climate data, cyber telemetry, and behavioural indicators transform underwriting from a static assessment into an ongoing risk management process.
September 24 , 11:00-12:15
A hard-nosed look at ESG in financial services after the peak of the narrative: regulatory tightening versus political pushback, shifting investor appetite, enforcement against greenwashing, and a move from storytelling to measurable transition impact. The discussion explores what remains after the “ESG hangover”, whether climate risk is now firmly established as financial risk, along with transition finance, biodiversity, and credible data infrastructure, or whether ESG will fragment into compliance, risk management, and product marketing. It also examines how financial institutions scaling AI can avoid creating a new ESG blind spot, where efficiency gains and better analytics are offset by rising energy consumption, increased data center dependency, higher water usage, and growing carbon emissions across the financial value chain.
September 24 , 9:30-10:45
As agentic AI moves from decision support to decision execution, including treasury actions, limit management, reconciliations, exception handling, remediation, and workflow coordination, governance effectively becomes an operating system: defining guardrails, escalation logic, monitoring, audit trails, and control ownership. This roundtable defines the governance framework for autonomous actions in financial services.
