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	<title>Definition:Hazard identification - Revision history</title>
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	<updated>2026-05-02T15:16:26Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>PlumBot: Bot: Creating new article from JSON</title>
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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;Hazard identification&amp;#039;&amp;#039;&amp;#039; is the systematic process of recognizing and documenting the physical, moral, and environmental conditions that could give rise to or increase the likelihood and severity of [[Definition:Insurance | insurance]] losses. Within the insurance industry, this process sits at the front end of the [[Definition:Underwriting | underwriting]] and [[Definition:Risk management | risk management]] cycle — before hazards can be priced, mitigated, or excluded, they must first be identified. Hazard identification encompasses everything from on-site property surveys that catalog fire ignition sources and structural vulnerabilities to broader analyses of operational practices, regulatory compliance, and geographic exposures such as proximity to [[Definition:Natural catastrophe | natural catastrophe]] zones.&lt;br /&gt;
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🛠️ Insurers conduct hazard identification through multiple channels depending on the line of business and risk complexity. For commercial and industrial property, [[Definition:Risk engineer | risk engineers]] perform physical inspections, evaluating electrical systems, heating equipment, chemical storage, housekeeping standards, and fire suppression adequacy. In [[Definition:Liability insurance | liability]] lines, hazard identification might focus on a company&amp;#039;s product design processes, workplace safety protocols, or contractual exposure to third-party claims. Increasingly, technology supplements or replaces traditional site visits — [[Definition:Geospatial risk assessment | geospatial analytics]], drone-based imagery, and [[Definition:Internet of Things (IoT) | IoT]] sensor networks allow carriers to identify hazards remotely and continuously rather than relying on periodic inspections. [[Definition:Catastrophe modeling | Catastrophe modelers]] contribute their own form of hazard identification at the portfolio level, mapping exposure concentrations against peril footprints to flag accumulations that could produce outsized losses from a single event.&lt;br /&gt;
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🎯 Thorough hazard identification is what separates disciplined underwriting from speculative risk-taking. When an insurer fails to identify a material hazard — a building&amp;#039;s concealed combustible cladding, an insured&amp;#039;s undisclosed prior losses, or an emerging environmental liability — the result is mispriced coverage and unexpected claims. Regulatory frameworks worldwide reinforce this expectation: [[Definition:Solvency II | Solvency II&amp;#039;s]] Own Risk and Solvency Assessment (ORSA) process, for instance, requires insurers to demonstrate a comprehensive understanding of the risks they underwrite, while risk-based supervisory regimes in markets like Singapore and Hong Kong embed similar expectations into their licensing and capital frameworks. For [[Definition:Policyholder | policyholders]], the hazard identification process can also be a value-added service — the recommendations that follow from a risk engineer&amp;#039;s survey often help businesses reduce their own operational risks, creating a feedback loop that benefits both the insured and the insurer through lower loss frequency.&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:Hazard grade]]&lt;br /&gt;
* [[Definition:Risk engineer]]&lt;br /&gt;
* [[Definition:Moral hazard]]&lt;br /&gt;
* [[Definition:Physical hazard]]&lt;br /&gt;
* [[Definition:Risk assessment]]&lt;br /&gt;
* [[Definition:Underwriting]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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