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	<title>Definition:Biometric verification - Revision history</title>
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	<updated>2026-06-13T15:36:06Z</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;Biometric verification&amp;#039;&amp;#039;&amp;#039; is the use of unique physiological or behavioral characteristics — such as fingerprints, facial geometry, iris patterns, or voice signatures — to authenticate a person&amp;#039;s identity within [[Definition:Insurance | insurance]] workflows. As [[Definition:Insurance carrier | carriers]] and [[Definition:Insurtech | insurtechs]] push toward fully digital customer journeys, biometric verification has become a critical tool for onboarding [[Definition:Policyholder | policyholders]], authorizing [[Definition:Claim | claims]], and preventing [[Definition:Insurance fraud | fraud]] without the friction of passwords, in-person meetings, or paper-based identification checks.&lt;br /&gt;
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📲 In practice, an insurer might embed facial-recognition technology into its mobile app so that a claimant can confirm their identity before uploading damage photos or receiving a payout. [[Definition:Life insurance | Life]] and [[Definition:Health insurance | health]] insurers increasingly use biometric checks during the [[Definition:Application | application]] process — matching a selfie against a government-issued ID photo in real time — to satisfy [[Definition:Know your customer (KYC) | know-your-customer]] and [[Definition:Anti-money laundering (AML) | anti-money laundering]] requirements. Some carriers also experiment with behavioral biometrics, analyzing typing cadence or device-handling patterns to detect whether a legitimate user is interacting with an account, adding a passive security layer that operates continuously in the background.&lt;br /&gt;
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🛡️ Beyond streamlining the customer experience, biometric verification strengthens the industry&amp;#039;s defenses against identity theft and fraudulent claims — threats that cost insurers billions annually. Traditional authentication methods like security questions or document uploads are relatively easy to spoof; biometrics raise the difficulty level substantially. However, the technology also introduces obligations around [[Definition:Data privacy | data privacy]] and [[Definition:Regulatory compliance | regulatory compliance]], because biometric data is classified as sensitive personal information under laws such as the GDPR and various U.S. state statutes. Insurers deploying these systems must implement robust data-encryption protocols, obtain explicit consent, and maintain transparent retention policies to avoid regulatory penalties and preserve consumer trust.&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:Know your customer (KYC)]]&lt;br /&gt;
* [[Definition:Identity verification]]&lt;br /&gt;
* [[Definition:Insurance fraud]]&lt;br /&gt;
* [[Definition:Data privacy]]&lt;br /&gt;
* [[Definition:Digital distribution]]&lt;br /&gt;
* [[Definition:Insurtech]]&lt;br /&gt;
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