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		<title>Implementing safety guardrails for applications using Amazon SageMaker</title>
		<link>https://noise.getoto.net/2025/05/12/implementing-safety-guardrails-for-applications-using-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Laura Verghote]]></dc:creator>
		<pubDate>Mon, 12 May 2025 16:53:58 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Large Language Models (LLMs) have become essential tools for content generation, document analysis, and natural language processing tasks. Because of the complex non-deterministic output generated by these models, you need to apply robust safety measures to help prevent inappropriate outputs and protect user interactions. These measures are crucial to address concerns such as the risk […]]]></description>
		
		
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		<title>Generate AI powered insights for Amazon Security Lake using Amazon SageMaker Studio and Amazon Bedrock</title>
		<link>https://noise.getoto.net/2024/01/17/generate-ai-powered-insights-for-amazon-security-lake-using-amazon-sagemaker-studio-and-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Jonathan Nguyen]]></dc:creator>
		<pubDate>Tue, 16 Jan 2024 22:00:29 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon SageMaker Studio]]></category>
		<category><![CDATA[Amazon Security Lake]]></category>
		<category><![CDATA[artificial intelligence]]></category>
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					<description><![CDATA[In part 1, we discussed how to use Amazon SageMaker Studio to analyze time-series data in Amazon Security Lake to identify critical areas and prioritize efforts to help increase your security posture. Security Lake provides additional visibility into your environment by consolidating and normalizing security data from both AWS and non-AWS sources. Security teams can […]]]></description>
		
		
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		<title>How to improve your security incident response processes with Jupyter notebooks</title>
		<link>https://noise.getoto.net/2023/11/06/how-to-improve-your-security-incident-response-processes-with-jupyter-notebooks/</link>
		
		<dc:creator><![CDATA[Tim Manik]]></dc:creator>
		<pubDate>Mon, 06 Nov 2023 18:26:04 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[incident response]]></category>
		<category><![CDATA[SageMaker]]></category>
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					<description><![CDATA[Customers face a number of challenges to quickly and effectively respond to a security event. To start, it can be difficult to standardize how to respond to a partic­ular security event, such as an Amazon GuardDuty finding. Additionally, silos can form with reliance on one security analyst who is designated to perform certain tasks, such […]]]></description>
		
		
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		<title>Generate machine learning insights for Amazon Security Lake data using Amazon SageMaker</title>
		<link>https://noise.getoto.net/2023/08/29/generate-machine-learning-insights-for-amazon-security-lake-data-using-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Jonathan Nguyen]]></dc:creator>
		<pubDate>Tue, 29 Aug 2023 19:30:56 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Security Lake]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[SageMaker]]></category>
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					<description><![CDATA[Amazon Security Lake automatically centralizes the collection of security-related logs and events from integrated AWS and third-party services. With the increasing amount of security data available, it can be challenging knowing what data to focus on and which tools to use. You can use native AWS services such as Amazon QuickSight, Amazon OpenSearch, and Amazon […]]]></description>
		
		
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		<title>Amazon SageMaker Continues to Lead the Way in Machine Learning and Announces up to 18% Lower Prices on GPU Instances</title>
		<link>https://noise.getoto.net/2020/10/07/amazon-sagemaker-continues-to-lead-the-way-in-machine-learning-and-announces-up-to-18-lower-prices-on-gpu-instances/</link>
		
		<dc:creator><![CDATA[Julien Simon]]></dc:creator>
		<pubDate>Wed, 07 Oct 2020 16:28:52 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[Apache MXNet on AWS]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[PyTorch on AWS]]></category>
		<category><![CDATA[SageMaker]]></category>
		<category><![CDATA[Tensorflow on AWS]]></category>
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					<description><![CDATA[Since 2006, Amazon Web Services (AWS) has been helping millions of customers build and manage their IT workloads. From startups to large enterprises to public sector, organizations of all sizes use our cloud computing services to reach unprecedented levels of security, resiliency, and scalability. Every day, they&#8217;re able to experiment, innovate, and deploy to production [&#8230;]]]></description>
		
		
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