A global specialty insurer acts earlier on cyber risk with Lupovis
Live exploitation intelligence helps the group prioritise remediation and identify emerging exposure across its insured portfolio.
Global specialty insurance and reinsurance group
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A global specialty insurance and reinsurance group writing commercial, professional and financial lines across Europe, North America and Asia.
Europe, North America and Asia
Vulnerability prioritisation and cyber portfolio risk
Get research and insights on the vulnerabilities attackers are exploiting and what they mean for your defences.
Summary
A global specialty insurer needed an earlier view of the vulnerabilities putting its own systems and insured portfolio at risk.
Using continuous intelligence from Lupovis’s external sensor network, the group shifted remediation priorities towards observed exploitation and gained earlier visibility into emerging concentrations of cyber risk across its policyholders.
The result was earlier action on high-impact vulnerabilities, with security and portfolio decisions more closely informed by what attackers were doing.
The challenge
Two kinds of exposure. The same need to act earlier.
For a specialty insurer, cyber risk reaches beyond its own infrastructure. Sensitive underwriting, claims and pricing data must be protected internally, while the cyber exposure of thousands of policyholders creates potential losses across the insured portfolio.
Both are affected by how quickly attackers exploit vulnerabilities.
The client wanted to close the gap between exploitation happening in the wild and the point at which its teams could meaningfully act. Aggregated threat feeds provided a retrospective picture, while disclosure, advisory and patching processes took time to translate new information into action.
That left two connected questions: which vulnerabilities should the security team address first, and where was exposure building across the insured book?
The solution
Continuous visibility into active exploitation
Lupovis provides the client with continuous intelligence from an external sensor network positioned on the open internet, where attackers scan and probe for vulnerable systems.
The intelligence gives the group visibility into:
- The vulnerabilities attackers are actively choosing to exploit.
- The infrastructure those attacks originate from.
- The sectors and geographies attracting attacker attention.
Direct observation can surface exploitation before it appears in downstream advisories and, in some cases, before public disclosure catches up with activity in the wild.
This gives the client an earlier evidence base for decisions across both security operations and its insured portfolio.
What changed
Remediation priorities followed observed exploitation
The client rebuilt its approach to vulnerability prioritisation, moving from a severity-first view to one led by evidence of active exploitation.
That changed the order of its patching queue. Vulnerabilities attracting real attacker activity received attention that a CVSS-led approach alone would not have prompted.
The team could bring action on high-impact vulnerabilities forward and align remediation more closely with current threats.
Portfolio teams saw concentration risk earlier
The same intelligence informed how the group assessed its insured book.
When attackers began exploiting a vulnerability affecting a class of asset shared by multiple policyholders, the client gained an earlier indication of where concentration risk was building.
That evidence supported underwriting and portfolio conversations before the exposure became visible in loss data.
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The outcome
Earlier decisions across security and insurance
Throughout the engagement, the client’s response to high-impact vulnerabilities moved forward.
Its security team gained a stronger basis for deciding what to remediate first. Its portfolio teams gained earlier visibility into emerging exposure across insured organisations.
Both used the same source of evidence: observed attacker activity, continuously informing their view of cyber risk.
The client has been anonymised at its request.
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