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	<title>Definition:Regulatory technology (RegTech) - Revision history</title>
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	<updated>2026-06-13T13:35:16Z</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:Regulatory_technology_(RegTech)&amp;diff=8152&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;Regulatory technology (RegTech)&amp;#039;&amp;#039;&amp;#039; denotes the category of technology solutions designed to help [[Definition:Insurance carrier | insurers]], [[Definition:Insurance intermediary | intermediaries]], and other regulated entities meet their [[Definition:Regulatory requirement | regulatory obligations]] more efficiently, accurately, and cost-effectively. Within the insurance sector, RegTech addresses a uniquely complex compliance landscape — one in which a single carrier may face overlapping requirements from dozens of [[Definition:Regulatory body | state regulators]], federal agencies, and, for international operations, foreign supervisory authorities.&lt;br /&gt;
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🔧 RegTech solutions in insurance take many forms. Automated [[Definition:Regulatory filing | regulatory filing]] platforms streamline the preparation and submission of [[Definition:Statutory financial statement | statutory financial statements]] and rate filings across multiple jurisdictions. [[Definition:Anti-money laundering (AML) | Anti-money laundering]] screening tools scan [[Definition:Policyholder | policyholder]] and [[Definition:Claimant | claimant]] data against sanctions lists in real time. Compliance monitoring dashboards track regulatory changes — new bulletins, model law revisions, enforcement trends — and alert stakeholders before deadlines or new rules take effect. More advanced applications use [[Definition:Artificial intelligence (AI) | artificial intelligence]] and [[Definition:Natural language processing (NLP) | natural language processing]] to parse regulatory texts, map them to internal controls, and flag gaps automatically, a task that would take human compliance teams far longer to accomplish.&lt;br /&gt;
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📈 Adoption of RegTech has accelerated as the cost of non-compliance rises and regulators themselves embrace digital supervision. Insurers that invest in robust RegTech infrastructure often find they can enter new markets faster, reduce manual errors in filings, and free up compliance professionals to focus on strategic advisory work rather than data wrangling. For [[Definition:Insurtech | insurtechs]] building from scratch, embedding RegTech capabilities into their core platforms from day one creates a competitive advantage — demonstrating to [[Definition:Regulatory body | regulators]] and [[Definition:Investor | investors]] alike that compliance is engineered into the business rather than bolted on afterward.&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:Regulatory filing]]&lt;br /&gt;
* [[Definition:Regulatory requirement]]&lt;br /&gt;
* [[Definition:Insurtech]]&lt;br /&gt;
* [[Definition:Compliance]]&lt;br /&gt;
* [[Definition:Artificial intelligence (AI)]]&lt;br /&gt;
* [[Definition:Regulatory sandbox]]&lt;br /&gt;
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		<author><name>PlumBot</name></author>
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