Series 2 : Decision, not dashboards

The first series built the foundation: a data-driven approach to cyber risk analysis, connected to enterprise governance. Series 2 takes it into the room where decisions are made.

CISOs today face three high-stakes conversations that their current toolset was not built for. Defending a security budget in front of a CFO who evaluates every request in expected return per euro not maturity scores. Negotiating cyber insurance coverage when the policy was sized against sector benchmarks rather than the organisation's actual loss curve. And governing GenAI deployments when the risk surface is changing faster than any policy document can track.

In each case, the problem is the same: technical risk data that stops short of the financial translation the decision requires. A maturity score is not a return. A peer benchmark is not an exposure profile. A governance policy is not a risk estimate. The gap between what security teams produce and what business leaders need to act is the gap this series is designed to close.

Across three sessions, we work through each use case with a live model grounded in FAIR methodology and C-Risk's DDRM approach. We’ll show exactly how quantified risk analysis changes the conversation, the decision, and the outcome.

2.2 Cyber insurance: sizing coverage against exposure

Most enterprises renew their cyber insurance the same way every year: confirm the coverage level, accept the sub-limits the broker offers, and negotiate on premium. The underlying assumption that the coverage is approximately right is rarely tested. Until a claim arrives.

The structural problem is that brokers price coverage against sector and revenue band, not against your actual loss curve. This is rational at portfolio level for the insurer. For the buyer, it produces a policy that is wrong in two directions at once: over-covered on operational losses the organisation could absorb, and under-covered on severe events where sub-limits and exclusions cut out precisely when they are needed most.

In this session, we show how to close that gap using a quantified FAIR loss curve and how to arrive at renewal with a negotiating position grounded in your specific exposure profile rather than what your sector peers are buying.

What you'll learn:

-A clear picture of how cyber insurance is actually priced today — and why the peer benchmark systematically produces the wrong coverage for individual buyers

-A three-step FAIR method to build your aggregate loss curve and identify both coverage gaps (over and under) before renewal, not after a claim

-A practical negotiation framework: how to align policy limits, sub-limits, and exclusions to named scenarios — and the typical premium impact when you do

-A format your CFO and CRO will both sign: exposure-aligned, financially expressed, defensible to the board and the insurer