In conversation with
Head of FINEX GB Cyber & TMT at WTW

As Head of FINEX Cyber at Willis and a front-row seat to how organisations are buying and utilising cyber cover, Adrian cuts through the soft market noise to look at what’s really maturing in the sector.

From ransomware outage data to SME penetration in the UK, and from coverage disputes to AI-enabled attacks starting to be discussed amongst insurers, this is a grounded look at where the market stands and where WTW is supporting its clients.

We’ll be discussing frameworks for identifying concentration exposures in your portfolio, 3 realistic catastrophe scenarios with estimated impact ranges, and shared methodology for stress testing that both primary and reinsurer teams can use in renewals discussions.

What We’ll Tackle:
1. Cloud Infrastructure Aggregation
– Identifying hidden concentrations across AWS/Azure/GCP
– Business interruption triggers from single cloud provider failure

2. Software Supply Chain Dependencies
– Modeling downstream impact of critical vendor compromise
– CrowdStrike-style scenarios – operational failure vs. malicious attack

3. Correlation vs. Independence Assumptions
– Where current models underestimate simultaneous claims
– Geographic/sector diversification – does it actually reduce systemic risk?

4. Realistic Loss Scenarios & Stress Testing
– Building credible catastrophe scenarios with limited historical data
– PML estimates reinsurers will accept vs. what actuaries can defend

Why Now?
Reinsurers are increasingly challenging primary insurers’ accumulation assumptions, while regulators demand stress testing that current models can’t support. With limited historical data for systemic cyber events, both sides need new approaches to quantify concentration risk.

Attendees:
– Head of Cyber Cat Modeling/Portfolio Management
– Chief Actuary / CRO
– Reinsurance Brokers
– Reinsurer Underwriters & Cat Modelers

Participants

THis episode's Guest

Adrian Ruiz

Head of FINEX GB Cyber & TMT at WTW

Rick Caccia

Rick Caccia

CEO @ WitnessAI