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	<title>Definition:Confidentiality - Revision history</title>
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	<updated>2026-04-30T14:16:32Z</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:Confidentiality&amp;diff=12801&amp;oldid=prev</id>
		<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;Confidentiality&amp;#039;&amp;#039;&amp;#039; in the insurance industry refers to the obligation of [[Definition:Insurance carrier | insurers]], [[Definition:Insurance broker | brokers]], [[Definition:Insurance intermediary | intermediaries]], and other market participants to protect sensitive information obtained during the course of [[Definition:Underwriting | underwriting]], [[Definition:Claims handling | claims handling]], distribution, and business relationships from unauthorized disclosure or misuse. Insurance transactions are inherently information-intensive — [[Definition:Policyholder | policyholders]] disclose personal health data, financial records, business operations details, and proprietary risk information in order to obtain coverage — and the duty to safeguard this information is both a legal obligation and a foundation of market trust.&lt;br /&gt;
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🔧 Confidentiality obligations flow from multiple sources depending on the jurisdiction and the relationship involved. Statutory and regulatory requirements form the first layer: data protection laws such as the EU&amp;#039;s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and Singapore&amp;#039;s Personal Data Protection Act impose strict rules on how insurers collect, store, process, and share personal data. Beyond data protection statutes, insurance-specific regulations in many markets require confidentiality in particular contexts — [[Definition:Lloyd&amp;#039;s of London | Lloyd&amp;#039;s]] market protocols mandate confidentiality around [[Definition:Binding authority agreement | binding authority]] and [[Definition:Delegated underwriting authority (DUA) | delegated authority]] data, while [[Definition:Reinsurance | reinsurance]] contracts routinely include confidentiality clauses restricting how [[Definition:Cedant | cedants]] and [[Definition:Reinsurer | reinsurers]] use each other&amp;#039;s proprietary information. Contractual confidentiality provisions between brokers and their clients, between insurers and their [[Definition:Managing general agent (MGA) | MGAs]], and between parties to [[Definition:Mergers and acquisitions (M&amp;amp;A) | M&amp;amp;A]] transactions in the insurance sector add further layers. In [[Definition:Claims management | claims management]], confidentiality extends to the protection of privileged communications between insurers and their legal counsel, particularly in [[Definition:Coverage litigation | coverage disputes]] and complex [[Definition:Liability claim | liability claims]].&lt;br /&gt;
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🛡️ Breaches of confidentiality carry consequences that go well beyond regulatory fines — they can destroy client relationships, invite [[Definition:Litigation risk | litigation]], and cause lasting reputational damage in a relationship-driven industry. The rise of digital data exchange, [[Definition:Cloud computing | cloud-based platforms]], and [[Definition:Application programming interface (API) | API-connected ecosystems]] across the insurance value chain has simultaneously increased efficiency and expanded the attack surface for data breaches. [[Definition:Cyber insurance | Cyber incidents]] targeting insurers — who hold vast repositories of personally identifiable and commercially sensitive information — represent a growing operational risk. Regulators worldwide are responding with heightened expectations around [[Definition:Information security | information security]] governance, breach notification timelines, and third-party risk management. For [[Definition:Insurtech | insurtech]] firms building data-intensive business models around [[Definition:Predictive analytics | predictive analytics]] and [[Definition:Artificial intelligence (AI) | AI-driven underwriting]], demonstrating robust confidentiality practices is not merely a compliance requirement but a competitive necessity to earn the trust of carrier partners and end customers alike.&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:Data protection]]&lt;br /&gt;
* [[Definition:Cyber insurance]]&lt;br /&gt;
* [[Definition:Information security]]&lt;br /&gt;
* [[Definition:Privacy regulation]]&lt;br /&gt;
* [[Definition:Duty of disclosure]]&lt;br /&gt;
* [[Definition:Third-party risk management]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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