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.

What does this mean for risk management?

• Investment priorities in climate transition and strategic capital deployment
• Portfolio construction approaches and forward-looking assessment frameworks

Intensifying AI governance and digital regulations, consumer duty protection and ESG integration

How can insurance companies transform compliance challenges into strategic advantages?

What is the outlook on growth and inflation in an increasingly competitive marketplace?

McKinsey’s latest research reveals a significant shift in what boards, CEOs, and other executives will demand from their risk function in the next 3–5 years. This calls for a fundamental reimagination of the role of the Chief Risk Officer (CRO) and the risk team to be more dynamic, forward-looking, and focused on the business's profitable growth priorities. This shift will affect every risk professional. 

What will the Risk function of 2030 look like? How do we get there? What role will the next generation of agentic AI play in shaping this transformation, both for defense and offense

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   

• Why nature risk lags behind climate risk in terms of risk framework integration

• Barriers to embedding nature risk, including conceptual complexity, data and metrics gaps, regulatory uncertainty

• How can TNFD recommendations and disclosure requirements support with these barriers

• Lessons from climate risk integration that can inform nature risk governance, data strategy, and cross-functional collaboration

This session will explore how AI can be applied effectively to climate and other sustainability-related challenges. It will cover the current state of practice and provide practical examples of applications from data proxies to early warning systems. However, application is ineffective without integration, so this session will also discuss what AI can and cannot do for climate risk, and how it can best be used.

For banks, the interplay between geopolitics and sustainability is creating a new frontier of risk. Divergent regulatory regimes and shifting global alliances are reshaping markets at pace, meaning institutions must get the balance right between immediate risk management and long-term sustainable growth.

This session will explore how banks can reconcile short-term stability with long-term sustainability objectives. We’ll discuss the implications of geopolitical shocks for ESG commitments including financing, and the strategies banks can deploy to remain resilient while sustaining momentum towards net zero.

Industry outlook for 2026

Tips on building a resilience-focused culture, investing in technology, creating a sound operational framework to strengthening your business

1. Industry insights: Future of Risk & Compliance for insurers
2. AI for Risk – Real-life examples
3. What’s Next – Agentic Use Cases and Controls

Asset Managers face various systemic and idiosyncratic challenges which prompts the need to apply effective ex-ante risk management. As an industry, Asset Managers need to pay attention to these challenges and be willing to learn from each other to ensure resilience and enable relevance. Join this session to delve into how richer sets of data can help firms to learn and anticipate trends, to better address risks in an ex-ante manner, as well as help firms (be they active or passive in their investment disciplines), bootstrap their operational resilience and, thus, be more effective and efficient.

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

Understanding critical differences in vendor risk assessment methodologies

• What developments are shaping how insurers optimise balance sheets

• How should insurers design the analytics systems they use for management

• What stress and scenario capabilities do insurers need in the future

• How will automation and AI change analytics teams

From stress-testing portfolios, to adapting underwriting strategies and engaging with policymakers, we’ll discuss how CROs of the largest insurers are strengthening resilience, aligning with evolving regulations, and ensuring adaptability in an increasingly volatile global landscape

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?

• Explore how nature degradation is becoming a financially material risk for corporations and financial institutions

• Nature-based solutions and carbon markets: risk and opportunity

• Examine the key risk drivers in nature-based project finance within the carbon markets

• The role of financial institutions in supporting the development of nature-based carbon markets

• Climate scenario analysis must highlight risks as well as opportunities

• Climate scenarios provide useful macro-level narratives, but translating them into security-level financial impacts remains nontrivial

• We addresses these gaps with a unified, scenario-consistent methodology that maps macro-level climate assumptions into firm-level cash flows and, ultimately, into valuations of securities — including equities, corporate bonds, sovereigns, loans, and more.

• We outline the conceptual and technical foundations of our framework and highlight how it supports regulatory compliance, portfolio optimization, and forward-looking climate resilience.

• Arturo will analyse the evolution of key sustainability trends on the 10th anniversary of the “Tragedy of the Horizon.”

• He will also examine the growing influence of geopolitics and geoeconomics on transition planning, and share his insights into the challenges that technology, data centres, artificial intelligence, and the energy sector pose for sustainable finance.

Risk managers today face new systemic threats, such as climate change and geopolitical instability, that materially impact liquidity, as well as market and credit exposures. Through practical and historical examples, this session illustrates how traditional siloed models falter under compound stresses. Modern platforms, on the other hand, combine stochastic simulations and forward‑looking scenario analysis over correlated financial risk factors, where emerging threats are estimated precisely. Attendees will learn how to shift from fragmented regulatory compliance toward actionable business insight.

• Building resilient talent pipelines for Insurance risk functions
• Attracting and retaining risk professionals in a competitive insurance landscape

As AI becomes central to business strategy, its role in Risk Management and Regulatory Compliance is expanding rapidly. Our panel of industry leaders will explore how enterprises can adapt and thrive AI-led high impact transformation in risk management, key considerations for moving from pilot to scaled execution, point of views on guardrails, model risk assurance and different operating model for industrialization of Gen AI and AI agents in Insurance Risk Management.