Preconference Day: Summits & Workshops - 2025 AgendaMonday, 17 November 2025 - GMT (Greenwich Mean Time, GMTZ)

How is this reframing the risk landscape? How are financial institutions unpacking digital complexity?

By 2026, boards will be expected to oversee AI as a core risk — alongside cyber, climate, and geopolitical shocks. Emerging markets offer a powerful preview of this future: rapid adoption, evolving infrastructure, and high-stakes resilience. Drawing on experiences from fintechs, telcos, and regulated financial services, this talk will highlight what global boards can learn from emerging markets as they govern AI, prepare for a more complex risk universe, and unlock immense opportunities for innovation and inclusion.

As organizations adopt agentic AI, new and complex risk exposures emerge — from cross-agent task escalation to propagation of data corruption. In this session, we explore a real-world implementation of AI risk management (including the development of a risk and controls taxonomy) for a global institution, from its Executives to the front-line. We will highlight how leaders can build the relevant controls and governance to mitigate risk and unlock the business value offered by AI. Attendees will be left with practical insights and actionable activities to assess the level of responsible AI and build a robust framework for trustworthy and scalable AI adoption.

When a major disruption hits — cyber, supplier, technology, or market — the CRO becomes the organisation’s nerve centre. The Board looks to you to provide assurance, the CEO looks to you for control, and regulators expect confidence that the firm can manage risk appropriately while recovering without breaching tolerance. In those moments, risk leadership moves from theory to reality.

This session will explore how CROs can lead from the front when the business is under pressure — the right people, plans, and priorities activate fast and in the right order. We’ll discuss how to turn operational resilience frameworks and recovery plans into dynamic, live capabilities; how sequencing and planning determine whether recovery succeeds or stalls; and how CROs can use technology, data, and rehearsal to prove their organisation can withstand disruption. Because when the next crisis hits, the real question won’t be “Was it on your risk register?” — it will be “Could you lead the business through it?”

Artificial intelligence seems to be everywhere, and actors seem to already increasingly use AI to enhance their offensive capabilities. There are qualified experts that state that AI would actually be of greater use for the ‘Blue Team’, but when you take a serious look there are relatively little successful implementations on the defensive side. It is time to boost cyber defence!

In this presentation we will look at:

• Factors that inhibit application of AI in cybersecurity

• How ING has set up a fit for purpose organisation for AI in cybersecurity

• Two successful use cases in the fields of Identity and Access Management and detection of cyber-attacks in the SOC

• How AI may also extend to security and risk reporting   

In this session, ACTICO will showcase how Agentic AI can have a transformative impact on credit risk assessment in corporate and commercial lending. Agentic AI introduces autonomous, adaptive and explainable credit risk agents that can reduce operational risk and unlock new efficiencies.

Learning Objectives

• Distinguish between past waves of AI innovation – from predictive analytics to the emergence of Agentic AI

• Explore the five key attributes of credit risk agents

• Identify practical use cases in credit risk assessment where Agentic AI delivers measurable impact

CROs face a rising threat: AI-powered employees who aren’t real. From deepfake candidates passing interviews to LLM-driven workers extracting internal data, attackers are using synthetic identities to breach trust, not just firewalls. This talk breaks down the new infiltration playbook—real cases, dark web tactics, and a live demo—to help risk leaders stay ahead of threats their models never saw coming

Agentic AI represents the shift from static scripts to adaptive, autonomous systems capable of acting in complex environments. While agent-based systems existed before modern LLMs, their fusion with generative AI has greatly expanded their scale, enhanced their capabilities, and introduced new risks. What does readiness look like for organisations preparing to integrate agentic AI into their infrastructure? How can we ensure that critical data and systems remain protected? How do we maintain oversight and resilience without slowing down automation? And how can organisations govern and safeguard agentic AI to deploy it responsibly in high-stakes environments?

How will the financial services industry redefine the mandate, increase capability and stakeholder engagement?