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	<title>Definition:Cyber aggregation risk - Revision history</title>
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	<updated>2026-05-02T21:15:14Z</updated>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🌐 &amp;#039;&amp;#039;&amp;#039;Cyber aggregation risk&amp;#039;&amp;#039;&amp;#039; is the potential for a single cyber event — or a cluster of related events — to trigger [[Definition:Claims management | claims]] simultaneously across a large number of [[Definition:Insurance policy | policies]] within an insurer&amp;#039;s or [[Definition:Reinsurance | reinsurer&amp;#039;s]] portfolio, producing correlated losses that dwarf expectations based on individual risk analysis. In the [[Definition:Cyber insurance | cyber insurance]] market, aggregation risk is the defining portfolio management challenge, because the interconnected nature of digital infrastructure means that a vulnerability in a widely used software platform, a compromise of a major [[Definition:Cloud computing | cloud service provider]], or a state-sponsored attack campaign can affect thousands of policyholders at once. Unlike natural catastrophe [[Definition:Aggregation risk | aggregation]] — where geographic concentration is the primary driver — cyber aggregation can be non-geographic, arising from shared technology dependencies that cut across industries and borders.&lt;br /&gt;
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🔧 Modeling [[Definition:Cyber aggregation risk | cyber aggregation]] requires fundamentally different approaches from traditional [[Definition:Catastrophe modeling | catastrophe modeling]]. Firms such as CyberCube, Moody&amp;#039;s RMS, and Verisk offer scenario-based and probabilistic models that simulate events like mass ransomware propagation, cloud outage cascades, or exploitation of zero-day vulnerabilities in ubiquitous software libraries. These models attempt to map the hidden correlations within an insurer&amp;#039;s book — for instance, identifying how many policyholders rely on the same cloud provider, email platform, or managed security service. [[Definition:Underwriting | Underwriters]] and [[Definition:Portfolio management | portfolio managers]] use the output to set [[Definition:Aggregate limit | aggregate limits]], purchase [[Definition:Reinsurance | reinsurance]] protection — including [[Definition:Catastrophe excess of loss reinsurance | catastrophe excess of loss]] and [[Definition:Industry loss warranty (ILW) | industry loss warranties]] — and stress-test their books against plausible extreme scenarios. Regulators have taken note as well: the UK&amp;#039;s [[Definition:Prudential Regulation Authority (PRA) | Prudential Regulation Authority]] and the [[Definition:European Insurance and Occupational Pensions Authority (EIOPA) | EIOPA]] have issued guidance requiring insurers to demonstrate that they understand and manage their cyber accumulations, while Lloyd&amp;#039;s introduced specific mandates for syndicates to quantify and manage [[Definition:Cyber risk | cyber]] aggregation exposure within their business plans.&lt;br /&gt;
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⚠️ Left unmanaged, cyber aggregation risk has the potential to generate industry-wide losses on a scale that threatens individual carrier solvency and market confidence — a concern that has led some to label a catastrophic cyber event the &amp;quot;next pandemic&amp;quot; for the insurance sector. The NotPetya attack of 2017, while primarily a [[Definition:Property insurance | property]] and business interruption event ultimately litigated under [[Definition:War exclusion | war exclusion]] clauses, offered an early preview of how a single piece of malicious code could cascade across global corporations and trigger billions in insured losses. More recently, the MOVEit and SolarWinds incidents demonstrated how [[Definition:Supply chain risk | supply chain]] compromises propagate through shared software dependencies. For [[Definition:Reinsurance | reinsurers]] and [[Definition:Insurance-linked securities (ILS) | ILS]] investors, the opacity of cyber tail risk makes it difficult to price peak exposures with the same confidence available for natural catastrophe perils. As the cyber insurance market grows, the ability to identify, quantify, and cap aggregation risk will determine which carriers can sustainably scale their books and which face existential surprise.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Cyber insurance]]&lt;br /&gt;
* [[Definition:Catastrophe modeling]]&lt;br /&gt;
* [[Definition:Aggregation risk]]&lt;br /&gt;
* [[Definition:Systemic risk]]&lt;br /&gt;
* [[Definition:Cloud concentration risk]]&lt;br /&gt;
* [[Definition:War exclusion]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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