Pre-conference Day: Summits & WorkshopsMonday, 16 November 2026 - GMT (Greenwich Mean Time, GMTZ)

The gap between proof-of-concept success and operational deployment – what are we seeing in real time?

As regulators worldwide demand board-level accountability for algorithmic decisions, model failures, and AI-driven systemic risks, what are banks doing to transform board governance?

Join McKinsey experts Charlie Lewis and Rich Isenberg as they unpack how Frontier AI has provided much needed opportunities for organizations to redesign processes, decision rights, talent and AI-enabled defense. Though attacks are rising, organizations have the means to become more resilient rather than simply absorbing a growing volume of attacks.Rich Eisenberg, McKinsey & CompanyCharlie Lewis, McKinsey & Company

- Consolidating multi-source risk data - the practical challenges

- Building a single, governed source of truth across the fund, with access controls, data quality checks, and reconciliation

- Looking ahead: agentic AI for natural-language data interaction and automated workflows

As regulatory reporting becomes more complex, ISDA is building a Digital Regulatory Reporting AI platform that connects regulatory requirements, industry decisions and machine-executable DRR code. By combining an authoritative ISDA Knowledge Base, rule translation, CDM and DRR code generation and end-to-end traceability, the platform is designed to reduce implementation cost, improve consistency for members and give regulators greater transparency into how reporting obligations are interpreted and applied.

AI adoption continues to accelerate in banking whilst the maturity of AI risk management and governance continues to lag behind. Only 13% of global banks have achieved leading AI governance – whilst AI driven risks (and incidents) have surged. This joint session explores why effective enterprise-grade AI governance is critical to transform a compliance burden into a growth accelerator. SAS technology offers a platform to implement scalable, policy-driven AI controls to help management teams in banking to reduce risk, build consumer trust, and unlock innovation at scale.

Integrated defense architecture combining detection, verification, and institutional resilience

Artificial intelligence has fundamentally transformed financial crime capabilities, enabling fraudsters to operate at unprecedented scale and sophistication through synthetic identity fraud. What are banks to protect customers?

Chief Risk Officers face a new category of risk: the inability to distinguish between human and machine actors.
As generative AI, deepfakes, and autonomous agents become increasingly sophisticated, attackers can use stolen identities purchased on the dark web to pass interviews, gain access to critical systems, and operate as trusted insiders. Armed with genuine documents, employment histories, and AI-generated video and voice capabilities, these actors can bypass traditional verification processes and exploit the very trust on which organizations depend.
At the same time, AI agents are beginning to interact with business processes, customers, and employees with growing levels of autonomy, creating new challenges around accountability, governance, fraud, and operational resilience.
Through real-world cases, dark web insights, and live demonstration, this session explores how the erosion of trust in digital identity is reshaping the risk landscape and why traditional controls may no longer be enough. Attendees will gain practical insights into how CROs can prepare for a future where verifying both who is acting and whether that actor is human may become one of the most critical risk controls in the organization.

Key takeaway: In the age of agentic AI, trust, identity, and accountability are emerging as some of the most important risks a CRO must manage.