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	<title>artificial intelligence &#8211; Noise</title>
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	<description>The collective thoughts of the interwebz</description>
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		<title>From Policy to Practice: Why Cyber Resilience Needs a Reboot</title>
		<link>https://noise.getoto.net/2025/12/04/from-policy-to-practice-why-cyber-resilience-needs-a-reboot/</link>
		
		<dc:creator><![CDATA[Rapid7]]></dc:creator>
		<pubDate>Thu, 04 Dec 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Government]]></category>
		<category><![CDATA[Public Policy]]></category>
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					<description><![CDATA[In cybersecurity today, regulation is everywhere, but resilience isn’t keeping pace.In this episode of Experts on Experts: Commanding Perspectives, Craig Adams chats with Sabeen Malik, VP of Public Policy &#38; Government Affairs at Rapid7, about what’s br...]]></description>
		
		
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		<title>Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models</title>
		<link>https://noise.getoto.net/2025/12/03/amazon-bedrock-adds-reinforcement-%ef%ac%81ne-tuning-simplifying-how-developers-build-smarter-more-accurate-ai-models/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Wed, 03 Dec 2025 16:08:14 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.]]></description>
		
		
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		<item>
		<title>New serverless customization in Amazon SageMaker AI accelerates model fine-tuning</title>
		<link>https://noise.getoto.net/2025/12/03/new-serverless-customization-in-amazon-sagemaker-ai-accelerates-model-fine-tuning/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Wed, 03 Dec 2025 16:08:03 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
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					<description><![CDATA[Accelerate AI model development with new training features that enable rapid recovery from failures and automatic scaling based on resource availability.]]></description>
		
		
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			</item>
		<item>
		<title>Introducing checkpointless and elastic training on Amazon SageMaker HyperPod</title>
		<link>https://noise.getoto.net/2025/12/03/introducing-checkpointless-and-elastic-training-on-amazon-sagemaker-hyperpod/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Wed, 03 Dec 2025 16:07:52 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f41cd89703ab696d84bc4837aca29a35</guid>

					<description><![CDATA[Accelerate AI model development with new training features that enable instant recovery from failures and automatic scaling based on resource availability.]]></description>
		
		
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			</item>
		<item>
		<title>Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-bedrock-agentcore-adds-quality-evaluations-and-policy-controls-for-deploying-trusted-ai-agents/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:14:36 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4e913cfb5815c0d28b00c53e49f37b13</guid>

					<description><![CDATA[Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.]]></description>
		
		
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			</item>
		<item>
		<title>Amazon S3 Vectors now generally available with increased scale and performance</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-s3-vectors-now-generally-available-with-increased-scale-and-performance/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:06:11 +0000</pubDate>
				<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b17da41c037abe5d8f575a6dcb4bc71a</guid>

					<description><![CDATA[Scale vector storage and querying to new heights with S3 Vectors' general availability—now supporting up to 1 billion vectors per index, 100ms query latencies, and expanded regional availability, while reducing costs up to 90% compared to specialized databases.]]></description>
		
		
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		<item>
		<title>Amazon Bedrock adds 18 fully managed open weight models, including the new Mistral Large 3 and Ministral 3 models</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-bedrock-adds-18-fully-managed-open-weight-models-including-the-new-mistral-large-3-and-ministral-3-models/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:05:57 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Access fully managed foundation models from leading providers like Google, Kimi AI, MiniMax AI, Mistral AI, NVIDIA, OpenAI, and Qwen, including the new Mistral Large 3 and Ministral 3 3B, 8B, and 14B models through Amazon Bedrock.]]></description>
		
		
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			</item>
		<item>
		<title>Amazon FSx for NetApp ONTAP now integrates with Amazon S3 for seamless data access</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-fsx-for-netapp-ontap-now-integrates-with-amazon-s3-for-seamless-data-access/</link>
		
		<dc:creator><![CDATA[Veliswa Boya]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:59:54 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Bedrock Knowledge Bases]]></category>
		<category><![CDATA[Amazon FSx for NetApp ONTAP]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[storage]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d64d25cf9538402021b5b39f04d697dd</guid>

					<description><![CDATA[Access FSx for NetApp ONTAP file data through S3 to enable AI/ML workloads and analytics—letting you use enterprise file data with Bedrock, SageMaker, and analytics services while it remains in your file system.]]></description>
		
		
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		<item>
		<title>Introducing Amazon Nova 2 Lite, a fast, cost-effective reasoning model</title>
		<link>https://noise.getoto.net/2025/12/02/introducing-amazon-nova-2-lite-a-fast-cost-effective-reasoning-model/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:59:40 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[foundation-models]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=743995aa5b1bf5fac05ec98048fed9b9</guid>

					<description><![CDATA[New fast, cost-effective model supports extended thinking with adjustable reasoning depth, letting you control the balance between speed, intelligence, and cost while building AI applications for everyday workloads.]]></description>
		
		
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		<item>
		<title>Introducing Amazon Nova Forge: Build your own frontier models using Nova</title>
		<link>https://noise.getoto.net/2025/12/02/introducing-amazon-nova-forge-build-your-own-frontier-models-using-nova/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:53:51 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
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					<description><![CDATA[New program gives organizations unprecedented access to Nova model training, enabling them to build custom frontier models that deeply embed domain expertise without the traditional barriers of cost, compute, and time.]]></description>
		
		
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		<item>
		<title>AWS Transform for mainframe introduces Reimagine capabilities and automated testing functionality</title>
		<link>https://noise.getoto.net/2025/12/01/aws-transform-for-mainframe-introduces-reimagine-capabilities-and-automated-testing-functionality/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Mon, 01 Dec 2025 19:02:02 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[AWS Transform]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[Mainframe & Legacy]]></category>
		<category><![CDATA[Mainframe Migration]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b280ff287c0cceb790bd85aee4e566f6</guid>

					<description><![CDATA[New AI-powered capabilities help transform legacy mainframe applications into cloud-native architectures while automating complex testing processes—reducing modernization timelines from years to months through intelligent analysis and automated test generation.]]></description>
		
		
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		<item>
		<title>Building with AI-DLC using Amazon Q Developer</title>
		<link>https://noise.getoto.net/2025/11/29/building-with-ai-dlc-using-amazon-q-developer/</link>
		
		<dc:creator><![CDATA[Will Matos]]></dc:creator>
		<pubDate>Sat, 29 Nov 2025 21:07:21 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[software]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=13de378f6995858a80080c7e976e067c</guid>

					<description><![CDATA[The AI-Driven Development Life Cycle (AI-DLC) methodology marks a significant change in software development by strategically assigning routine tasks to AI while maintaining human oversight for critical decisions. Amazon Q Developer, a generative AI coding assistant, supports the entire software development lifecycle and offers the Project Rules feature, allowing users to tailor their development practices […]]]></description>
		
		
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		<item>
		<title>Open-Sourcing Adaptive Workflows for AI-Driven Development Life Cycle (AI-DLC)</title>
		<link>https://noise.getoto.net/2025/11/29/open-sourcing-adaptive-workflows-for-ai-driven-development-life-cycle-ai-dlc/</link>
		
		<dc:creator><![CDATA[Will Matos]]></dc:creator>
		<pubDate>Sat, 29 Nov 2025 20:54:04 +0000</pubDate>
				<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[developer]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[software]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d17fea8e2f30b32c4f019c33e26c1c8b</guid>

					<description><![CDATA[AI-Driven Development Life Cycle (AI-DLC) holds the promise of unlocking the full potential of AI in software development. By emphasizing AI-led workflows and human-centric decision-making, AI-DLC can deliver velocity and quality. However, realizing these gains hinges on how organizations effectively integrate AI into their engineering workflows. Through our work with engineering teams across industries, we […]]]></description>
		
		
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		<title>Accelerate investigations with AWS Security Incident Response AI-powered capabilities</title>
		<link>https://noise.getoto.net/2025/11/21/accelerate-investigations-with-aws-security-incident-response-ai-powered-capabilities/</link>
		
		<dc:creator><![CDATA[Daniel Begimher]]></dc:creator>
		<pubDate>Fri, 21 Nov 2025 18:47:13 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[Amazon GuardDuty]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Incident Response]]></category>
		<category><![CDATA[AWS Security Hub]]></category>
		<category><![CDATA[incident response]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Security Blog]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=91ea14e6ffec9d3a1e5eeea51655e236</guid>

					<description><![CDATA[If you’ve ever spent hours manually digging through AWS CloudTrail logs, checking AWS Identity and Access Management (IAM) permissions, and piecing together the timeline of a security event, you understand the time investment required for incident investigation. Today, we’re excited to announce the addition of AI-powered investigation capabilities to AWS Security Incident Response that automate […]]]></description>
		
		
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		<title>The Agentic AI Security Scoping Matrix: A framework for securing autonomous AI systems</title>
		<link>https://noise.getoto.net/2025/11/21/the-agentic-ai-security-scoping-matrix-a-framework-for-securing-autonomous-ai-systems/</link>
		
		<dc:creator><![CDATA[Aaron Brown]]></dc:creator>
		<pubDate>Fri, 21 Nov 2025 15:01:06 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d5a50a2655124ea3d90f68bf6adc981c</guid>

					<description><![CDATA[As generative AI became mainstream, Amazon Web Services (AWS) launched the Generative AI Security Scoping Matrix to help organizations understand and address the unique security challenges of foundation model (FM)-based applications. This framework has been adopted not only by AWS customers across the globe, but also widely referenced by organizations such as OWASP, CoSAI, and […]]]></description>
		
		
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		<title>Amazon introduces two benchmark datasets for evaluating AI agents’ ability on code migration</title>
		<link>https://noise.getoto.net/2025/11/19/amazon-introduces-two-benchmark-datasets-for-evaluating-ai-agents-ability-on-code-migration/</link>
		
		<dc:creator><![CDATA[Linbo Liu]]></dc:creator>
		<pubDate>Wed, 19 Nov 2025 18:55:15 +0000</pubDate>
				<category><![CDATA[AI/ML]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d222eaccb049f32f02b1fb1566c2ff37</guid>

					<description><![CDATA[Introduction: Repository-Level Code Migration Code migration is a repository-level transformation process that modernizes entire software projects to run on new platforms, frameworks, or runtime environments while preserving their original functionality and structure. Rather than focusing on isolated files or APIs, it operates across the full repository, spanning source code, dependencies, build systems, and configuration files […]]]></description>
		
		
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		<title>Architecting for AI excellence: AWS launches three Well-Architected Lenses at re:Invent 2025</title>
		<link>https://noise.getoto.net/2025/11/19/architecting-for-ai-excellence-aws-launches-three-well-architected-lenses-at-reinvent-2025/</link>
		
		<dc:creator><![CDATA[Anitha Selvan]]></dc:creator>
		<pubDate>Wed, 19 Nov 2025 17:09:28 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e44ddcc7e4f395f395112a3cf4f072d5</guid>

					<description><![CDATA[At re:Invent 2025, we introduce one new lens and two significant updates to the AWS Well-Architected Lenses specifically focused on AI workloads: the Responsible AI Lens, the Machine Learning (ML) Lens, and the Generative AI Lens. Together, these lenses provide comprehensive guidance for organizations at different stages of their AI journey, whether you're just starting to experiment with machine learning or already deploying complex AI applications at scale.]]></description>
		
		
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		<title>The State of Security Today: Setting the Stage for 2026</title>
		<link>https://noise.getoto.net/2025/11/18/the-state-of-security-today-setting-the-stage-for-2026/</link>
		
		<dc:creator><![CDATA[Rapid7]]></dc:creator>
		<pubDate>Tue, 18 Nov 2025 16:07:34 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[cybersecurity]]></category>
		<category><![CDATA[ransomware]]></category>
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					<description><![CDATA[As we close out 2025, one thing is clear: the security landscape is evolving faster than most organizations can keep up. From surging ransomware campaigns and AI-enhanced phishing to data extortion, geopolitical fallout, and gaps in cyber readiness, th...]]></description>
		
		
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		<title>Supercharging the ML and AI Development Experience at Netflix</title>
		<link>https://noise.getoto.net/2025/11/04/supercharging-the-ml-and-ai-development-experience-at-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 04 Nov 2025 20:33:44 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[metaflow]]></category>
		<category><![CDATA[mlops]]></category>
		<guid isPermaLink="false">https://medium.com/p/b2d5b95c63eb</guid>

					<description><![CDATA[Supercharging the ML and AI Development Experience at Netflix with MetaflowShashank Srikanth, Romain CledatMetaflow — a framework we started and open-sourced in 2019 — now powers a wide range of ML and AI systems across Netflix and at many other compan...]]></description>
		
		
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		<title>Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search</title>
		<link>https://noise.getoto.net/2025/10/28/amazon-nova-multimodal-embeddings-state-of-the-art-embedding-model-for-agentic-rag-and-semantic-search/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 28 Oct 2025 15:12:38 +0000</pubDate>
				<category><![CDATA[*Post Types]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9cb6c115d1b155087aae69f4c113dd87</guid>

					<description><![CDATA[Amazon Nova Multimodal Embeddings is a new state-of-the-art embedding model available in Amazon Bedrock. It is the industry’s first embedding model that supports text, documents, images, video, and audio through a single unified model, enabling cross-modal retrieval and semantic search applications with leading accuracy, at industry-leading costs.]]></description>
		
		
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