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.

What does this mean for risk management?

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

• Mapping the global patchwork of emerging climate and ESG disclosure requirements (TCFD, ISSB, SEC, CSRD)
• Building compliance systems that can adapt to rapidly evolving regulatory frameworks
• Developing strategies to address conflicting regional requirements and reporting standards
• Preparing for increased regulatory scrutiny and enforcement actions in ESG reporting

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

What opportunities lie ahead that firms can leverage?

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

• Assess how firms are developing frameworks to assess social impacts of climate adaptation and mitigation strategies

• Create stakeholder engagement approaches that address community concerns

How are businesses implementing governance structures that balance climate objectives with social responsibility?

What do risk managers need to know?

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.

What is the current state of play?

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?

• Financial penalties and market value impacts
• Consumer trust erosion metrics

• Developing strategies to address data gaps and inconsistencies in ESG reporting
• Creating systems to manage the increasing volume and complexity of ESG data requirements

Mapping the evolving climate litigation risk landscape across jurisdictions

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.