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	<title>Mark Keating &#8211; Noise</title>
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		<title>Securing generative AI: data, compliance, and privacy considerations</title>
		<link>https://noise.getoto.net/2024/03/27/securing-generative-ai-data-compliance-and-privacy-considerations/</link>
		
		<dc:creator><![CDATA[Mark Keating]]></dc:creator>
		<pubDate>Wed, 27 Mar 2024 19:11:52 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
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		<category><![CDATA[generative AI]]></category>
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					<description><![CDATA[Generative artificial intelligence (AI) has captured the imagination of organizations and individuals around the world, and many have already adopted it to help improve workforce productivity, transform customer experiences, and more. When you use a generative AI-based service, you should understand how the information that you enter into the application is stored, processed, shared, and […]]]></description>
		
		
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		<title>How to visualize Amazon Security Lake findings with Amazon QuickSight</title>
		<link>https://noise.getoto.net/2023/11/02/how-to-visualize-amazon-security-lake-findings-with-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Mark Keating]]></dc:creator>
		<pubDate>Thu, 02 Nov 2023 13:07:26 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Security Lake]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Security Blog]]></category>
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					<description><![CDATA[In this post, we expand on the earlier blog post Ingest, transform, and deliver events published by Amazon Security Lake to Amazon OpenSearch Service, and show you how to query and visualize data from Amazon Security Lake using Amazon Athena and Amazon QuickSight. We also provide examples that you can use in your own environment […]]]></description>
		
		
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