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	<title>Definition:Fraud - Revision history</title>
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	<updated>2026-06-13T10:25:03Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Fraud&amp;diff=6866&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-10T04:53:44Z</updated>

		<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;Fraud&amp;#039;&amp;#039;&amp;#039; in the insurance context refers to any deliberate act of deception committed to obtain an illegitimate financial benefit from an [[Definition:Insurance carrier | insurance carrier]], whether by policyholders, claimants, [[Definition:Insurance agent | agents]], or even internal employees. It spans a wide spectrum — from entirely fabricated [[Definition:Claim | claims]] and staged accidents to subtle inflation of legitimate losses and misrepresentation of facts on [[Definition:Insurance application | applications]]. Industry estimates routinely place insurance fraud costs in the tens of billions of dollars annually in the United States alone, making it one of the most significant cost drivers that ultimately inflates [[Definition:Premium | premiums]] for honest policyholders.&lt;br /&gt;
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🔎 Insurance fraud generally falls into two broad categories: hard fraud and soft fraud. Hard fraud involves deliberately planned schemes — arson for profit, phantom [[Definition:Medical claim | medical claims]], or organized crash-for-cash rings — and is prosecuted as a criminal offense. Soft fraud, more pervasive and harder to detect, occurs when otherwise legitimate policyholders exaggerate damages, misstate information on an [[Definition:Insurance application | application]] to secure a lower rate, or add fictional items to a [[Definition:Property insurance | property]] claim. Both types erode [[Definition:Loss ratio (L/R) | loss ratios]], distort [[Definition:Actuarial analysis | actuarial assumptions]], and complicate [[Definition:Reserving | reserve]] adequacy. Detection often begins during [[Definition:Claims adjustment | claims adjustment]], where adjusters flag inconsistencies, but increasingly relies on data-driven [[Definition:Fraud detection | fraud detection]] systems and [[Definition:Special investigation unit (SIU) | special investigation units]].&lt;br /&gt;
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💡 Beyond direct financial losses, fraud degrades the trust architecture on which insurance depends. The principle of [[Definition:Utmost good faith | utmost good faith]] — the expectation that both parties deal honestly — underpins every [[Definition:Insurance contract | insurance contract]], and widespread fraud weakens that foundation. Regulators across all 50 states have established fraud bureaus, mandatory reporting requirements, and penalty frameworks to combat the problem. Meanwhile, [[Definition:Insurtech | insurtechs]] are deploying [[Definition:Artificial intelligence (AI) | artificial intelligence]], network analysis, and [[Definition:Predictive analytics | predictive analytics]] to identify suspicious patterns earlier in the claims lifecycle, shifting the industry from reactive investigation toward proactive prevention.&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:Fraud detection]]&lt;br /&gt;
* [[Definition:Special investigation unit (SIU)]]&lt;br /&gt;
* [[Definition:Utmost good faith]]&lt;br /&gt;
* [[Definition:Claims adjustment]]&lt;br /&gt;
* [[Definition:Moral hazard]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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