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	<title>fraud detection Archives - Insurance Journal</title>
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		<title>As Execs Eye AI for Fraud Detection, Deloitte Predicts Billions in Savings</title>
		<link>https://www.insurancejournal.com/news/national/2025/05/14/823588.htm</link>
		
					<dc:creator><![CDATA[Allen Laman]]></dc:creator>
					<pubDate>Wed, 14 May 2025 07:46:45 +0000</pubDate>
				<category><![CDATA[National News]]></category>
		<category><![CDATA[artificial intelligence (AI)]]></category>
		<category><![CDATA[claims investigation]]></category>
		<category><![CDATA[Deloitte]]></category>
		<category><![CDATA[fraud detection]]></category>
		<guid isPermaLink="false">https://www.insurancejournal.com/?p=823588</guid>

							<description><![CDATA[By implementing AI-driven technologies across the claims life cycle and integrating real-time analysis, P/C insurers could reduce fraudulent claims and save between $80 billion and $160 billion by 2032. ]]></description>
		
		
		
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		<title>Beneath the Surface: Why Insurers Should Look Beyond &#8220;the Tip of the A.I. Iceberg&#8221;</title>
		<link>https://www.insurancejournal.com/news/national/2021/05/24/615525.htm</link>
		
					<dc:creator><![CDATA[Elizabeth Blosfield]]></dc:creator>
					<pubDate>Mon, 24 May 2021 05:00:48 +0000</pubDate>
				<category><![CDATA[National News]]></category>
		<category><![CDATA[AI bias]]></category>
		<category><![CDATA[artificial intelligence (AI)]]></category>
		<category><![CDATA[Coalition Against Insurance Fraud]]></category>
		<category><![CDATA[cyber insurance]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[Insuring Cyber Podcast]]></category>
		<category><![CDATA[Shift Technology]]></category>
		<guid isPermaLink="false">https://www.insurancejournal.com/?p=615525</guid>

							<description><![CDATA[Nearly 75% of respondents in a recent survey from the Coalition Against Insurance Fraud and Shift Technology said they believe that among relevant technology, artificial intelligence (A.I.) will have the greatest impact on claims and fraud detection over the next &#8230;]]></description>
		
		
		
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		<title>Insurtech FRISS and Munich Re Extend Partnership to Support Insurers Fighting Fraud</title>
		<link>https://www.insurancejournal.com/news/international/2019/10/08/544823.htm</link>
		
				<pubDate>Tue, 08 Oct 2019 10:50:06 +0000</pubDate>
				<category><![CDATA[International & Reinsurance News]]></category>
		<category><![CDATA[artificial intelligence (AI)]]></category>
		<category><![CDATA[Business Moves & Mergers]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[FRISS]]></category>
		<category><![CDATA[insurance fraud]]></category>
		<category><![CDATA[InsurTech]]></category>
		<category><![CDATA[insurtech 2019]]></category>
		<category><![CDATA[Munich Re]]></category>
		<guid isPermaLink="false">https://www.insurancejournal.com/?p=544823</guid>

							<description><![CDATA[FRISS, the insurtech provider of AI-powered anti-fraud solutions for the P&#38;C insurance industry, has extended its partnership with Munich Re to now support insurers in their fight against fraud. Following their successful cooperation in Latin America and Iberia, the partnership &#8230;]]></description>
		
		
		
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		<title>Al Specialists omni:us and FRISS Partner to Offer Claims, Fraud Detection Services</title>
		<link>https://www.insurancejournal.com/news/international/2019/06/12/528996.htm</link>
		
				<pubDate>Wed, 12 Jun 2019 12:23:14 +0000</pubDate>
				<category><![CDATA[International & Reinsurance News]]></category>
		<category><![CDATA[artificial intelligence (AI)]]></category>
		<category><![CDATA[Claims]]></category>
		<category><![CDATA[claims fraud]]></category>
		<category><![CDATA[Fraud]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[FRISS]]></category>
		<category><![CDATA[Markets/Coverages]]></category>
		<category><![CDATA[omni:us]]></category>
		<guid isPermaLink="false">https://www.insurancejournal.com/?p=528996</guid>

							<description><![CDATA[Two artificial intelligence providers &#8212; omni:us and FRISS &#8212; are teaming up to &#8220;supercharge&#8221; insurance claims management and fraud detection. omni:us is a provider of AI-based cognitive claims management service, while FRISS is a provider of AI-powered fraud and risk &#8230;]]></description>
		
		
		
			</item>
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		<title>Researchers Aim to Spot a Liar Using Online Polygraph</title>
		<link>https://www.insurancejournal.com/news/national/2019/03/19/521008.htm</link>
		
				<pubDate>Tue, 19 Mar 2019 05:00:01 +0000</pubDate>
				<category><![CDATA[National News]]></category>
		<category><![CDATA[Florida State University]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[Research and Trends]]></category>
		<guid isPermaLink="false">https://www.insurancejournal.com/?p=521008</guid>

							<description><![CDATA[Can you spot a liar? It&#8217;s tricky enough in face-to-face conversations that offer facial expressions, gestures and tone of voice because those physical cues add context. Spotting a liar gets even tougher in blind computer conversations. Florida State University researcher &#8230;]]></description>
		
		
		
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		<title>Shift Technology Raises $60M to Expand Use of AI for Fraudulent Claims Detection</title>
		<link>https://www.insurancejournal.com/news/international/2019/03/06/519732.htm</link>
		
				<pubDate>Wed, 06 Mar 2019 10:27:22 +0000</pubDate>
				<category><![CDATA[International & Reinsurance News]]></category>
		<category><![CDATA[artificial intelligence (AI)]]></category>
		<category><![CDATA[big data]]></category>
		<category><![CDATA[Business Moves & Mergers]]></category>
		<category><![CDATA[Claims]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[fraudulent claims]]></category>
		<category><![CDATA[insurance fraud]]></category>
		<category><![CDATA[Shift Technology]]></category>
		<guid isPermaLink="false">https://www.insurancejournal.com/?p=519732</guid>

							<description><![CDATA[Shift Technology has raised $60 million in new venture financing, money that will help grow the reach of its artificial intelligence and big data technology designed to help carriers detect fraud during the claims process. Plans call for using the &#8230;]]></description>
		
		
		
			</item>
		<item>
		<title>Verisk Analytics Buys UK-Based Emergent Network Intelligence</title>
		<link>https://www.insurancejournal.com/news/international/2017/02/28/443030.htm</link>
		
				<pubDate>Tue, 28 Feb 2017 13:22:58 +0000</pubDate>
				<category><![CDATA[International & Reinsurance News]]></category>
		<category><![CDATA[2017 M&A]]></category>
		<category><![CDATA[2017 mergers and acquisitions]]></category>
		<category><![CDATA[Business Moves & Mergers]]></category>
		<category><![CDATA[Claims]]></category>
		<category><![CDATA[claims fraud]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[Mark Anquillare]]></category>
		<category><![CDATA[Mergers and Acquisitions]]></category>
		<category><![CDATA[Verisk Analytics]]></category>
		<guid isPermaLink="false">https://www.insurancejournal.com/?p=443030</guid>

							<description><![CDATA[Verisk Analytics Inc., the Jersey City, N.J.-based data analytics provider, announced it has acquired Emergent Network Intelligence (ENI), an innovator in insurance claims efficiency and fraud detection solutions based in Newcastle upon Tyne in the U.K. With the acquisition of &#8230;]]></description>
		
		
		
			</item>
		<item>
		<title>Companies Rely More on Tips Than Technology to Detect Fraud: KPMG</title>
		<link>https://www.insurancejournal.com/news/national/2016/06/13/416727.htm</link>
		
				<pubDate>Mon, 13 Jun 2016 13:03:37 +0000</pubDate>
				<category><![CDATA[National News]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[fraud technology]]></category>
		<category><![CDATA[Research and Trends]]></category>
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							<description><![CDATA[Fraudsters are more often caught by tip-offs and complaints, management review, accidentally, suspicious superiors and internal audits than by use of technology and data analytics. According to consulting firm KPMG, North companies are not capitalizing on the use of data &#8230;]]></description>
		
		
		
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