07/07/2026 | News release | Distributed by Public on 07/07/2026 03:29
By Luke Fardell, Lead Cyber Analyst
Tuesday, July 7, 2026
Most cyber insurance policies are still bought for a moment that never comes: the claim.
But increasingly, the real value is delivered long before an incident occurs - often in ways policyholders never see.
When a cyber breach does happen, the same question follows: could this have been avoided? In many cases, the answer is uncomfortably simple - yes.
A phishing email could have been identified.
A known vulnerability could have been patched.
An early warning signal could have been investigated before it escalated.
For many years, those failures sat outside the insurer's remit. Prevention was the client's responsibility; insurance existed to respond after the event.
That boundary is now changing - and not all buyers have caught up.
The changing nature of cyber
Cyber insurance began as a relatively straightforward financial instrument. Underwriting decisions were often based on broad indicators - industry, revenue and headcount - and priced accordingly. If something went wrong, the policy responded.
That model made sense in a developing market. But cyber risk has never been static. It's shaped continuously by evolving threat actors, changing infrastructure and the day-to-day reality of how organisations manage their systems.
A policy priced primarily on financial metrics can't fully capture that complexity.
From our experience of analysing thousands of networks, organisations that appear similar on paper often have fundamentally different risk profiles. A cloud-native business with minimal legacy infrastructure presents a very different exposure to one reliant on on-premises systems. Likewise, heavy dependence on third-party platforms creates a distinct risk-profile compared to environments built around mature internal controls such as segmented architectures, web proxies and application firewalls.
The shift nobody noticed
Much has been written about the evolution of cyber insurance: broader cover, tighter wordings, changing market capacity.
But the most meaningful shift has been less visible.
It sits within underwriting teams that have built technical capabilities more commonly associated with security operations than insurance. These include continuous monitoring of external attack surfaces, ingestion and filtering of threat intelligence, and identifying exploitable vulnerabilities in near real-time
For those insurers investing in this capability, risk is no longer assessed at a single point in time - it is observed continuously.
At TMK, our Cyber Analytics team monitors external risk signals across our clients on an ongoing basis. On our large accounts alone, we have investigated and actioned around 4,000 alerts so far this year.
Crucially, these alerts represent a highly distilled subset drawn from hundreds of thousands of underlying signals. Each one is manually triaged, attributed, and validated before it is communicated to the client via their broker. That process is essential - not just for accuracy, but to ensure the information is genuinely actionable rather than becoming background noise.
The impact is tangible. Over the past year, this approach has helped prevent at least eight potential incidents from developing into full-scale losses. In another instance, a critical external exposure was identified and remediated within an hour of notification.
We have also developed our own enhanced external attack surface mapping capabilities across our insured portfolio. In some cases, this has enabled us to identify exposures not yet visible through an organisation's own tooling, preventing what could have become a more serious incident.
Examples like this underline the importance of combining technology with validation and context, rather than relying on automated outputs alone.
In many cases, success is measured quietly: an issue is flagged, addressed immediately, and disappears before it has the chance to develop further.
Prevention in practice: where value is created
A typical scenario illustrates this point.
A company makes a firewall configuration change late in the day. The update is applied incorrectly, unintentionally exposing part of the network.
No one internally notices.
Before an attacker does, we identify the issue. It is validated, triaged, and escalated through the broker. The configuration is corrected. The exposure is closed.
No breach. No business interruption. No claim.
From a traditional perspective, nothing happened.
From a risk perspective, everything did.
This is where a growing proportion of cyber insurance value now sits - not in responding to incidents, but in preventing them.
The real differentiator: signal not noise
Access to data does not create value.
Many organisations are already overwhelmed by alerts. Adding more, particularly unvalidated ones, quickly becomes counterproductive. Irrelevant or inaccurate notifications erode trust, and when that happens, critical issues risk being ignored.
The differentiator is not visibility. It's verified visibility.
That means confirming that an asset genuinely belongs to the insured, identifying the exact system affected, and clearly articulating the nature and urgency of the exposure
This level of validation - closer to digital forensics than traditional underwriting - is what turns raw data into meaningful intervention.
Our approach reflects that. Multiple external data sources are continuously aggregated, enriched and correlated, with findings assessed through human-led analysis rather than purely automated scoring. In more complex or time-critical cases, our analysts can deploy our bespoke in-house capabilities to support deeper investigation.
The objective is simple: reduce noise, increase clarity, and ensure that when a client receives an alert, it is something that genuinely requires attention.
A different expectation of cyber insurance
None of this replaces the core function of insurance.
When incidents occur, policies still need to respond well. Claims handling, incident response coordination and access to specialist vendors remain fundamental.
But framing cyber insurance purely as a financial backstop is no longer sufficient.
Insurers building real capability are operating further upstream - identifying vulnerabilities earlier, enabling faster remediation, and strengthening the resilience of the organisations they insure.
What buyers should be asking now
For buyers, this shift changes how cyber insurance should be evaluated.
The question is no longer just what happens after an incident, but what happens before one.
Key considerations now include:
Too often, preventative services fall short. Lengthy reports filled with generic risk scores and templated commentary rarely drive meaningful action, while automated updates quickly become background noise.
What organisations actually need is confidence that experienced analysts are continuously monitoring their exposure, validating findings properly, and escalating only what matters.
The value is not in generating more alerts - it is in identifying the right issues early, applying context and judgement, and communicating clearly when action is required.
Value beyond the claim
Prevention is harder to demonstrate than a paid claim.
It doesn't come with a cheque attached.
It isn't always visible at board level.
And its success is defined by incidents that never happened.
But that is precisely the point.
Cyber insurance is no longer just about funding failure - it is increasingly about reducing the likelihood of it occurring at all.
For organisations treating cyber as a dynamic, active exposure that shift is not just an added benefit. It is becoming a defining part of the value proposition.