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	<title>Dhananjay Karanjkar &#8211; Noise</title>
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		<title>Build a unified AI agent architecture with DynamoDB and Bedrock</title>
		<link>https://noise.getoto.net/2026/08/21/build-a-unified-ai-agent-architecture-with-dynamodb-and-bedrock/</link>
		
		<dc:creator><![CDATA[Dhananjay Karanjkar]]></dc:creator>
		<pubDate>Fri, 21 Aug 2026 18:19:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
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					<description><![CDATA[With native vector search in Amazon DynamoDB, you can store vector embeddings alongside your operational data in a single table. This post shows how to build a unified AI agent architecture where an Amazon Bedrock agent uses one DynamoDB table for both structured lookups and semantic search, with a DynamoDB Streams pipeline that keeps embeddings in sync.]]></description>
		
		
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		<title>Route Amazon Bedrock Guardrails interventions to Amazon Security Lake</title>
		<link>https://noise.getoto.net/2026/08/06/route-amazon-bedrock-guardrails-interventions-to-amazon-security-lake/</link>
		
		<dc:creator><![CDATA[Dhananjay Karanjkar]]></dc:creator>
		<pubDate>Thu, 06 Aug 2026 19:00:15 +0000</pubDate>
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		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
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		<category><![CDATA[Amazon Security Lake]]></category>
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					<description><![CDATA[Security teams investigating AI-related incidents need guardrail intervention data alongside their existing security telemetry. Routing Amazon Bedrock Guardrails violations to Amazon Security Lake makes this possible. With this integration, you can query guardrail events alongside identity, network, and application security data in a single layer. When a guardrail blocks a prompt injection attempt or redacts […]]]></description>
		
		
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		<title>Enforce least-privilege authorization in multi-agent AI chains using Cedar</title>
		<link>https://noise.getoto.net/2026/07/06/enforce-least-privilege-authorization-in-multi-agent-ai-chains-using-cedar/</link>
		
		<dc:creator><![CDATA[Dhananjay Karanjkar]]></dc:creator>
		<pubDate>Mon, 06 Jul 2026 16:52:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Verified Permissions]]></category>
		<category><![CDATA[authorization]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[least privilege]]></category>
		<category><![CDATA[Oauth]]></category>
		<category><![CDATA[OWASP]]></category>
		<category><![CDATA[Security Blog]]></category>
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					<description><![CDATA[If you’re building multi-agent AI systems, you need to prevent authorization scope from silently expanding as agents delegate tasks through multi-hop chains. Without proper controls, an agent can potentially act beyond what the originating user authorized, even when role-based access control (RBAC) policies are in place. The OWASP Top 10 for Agentic Applications classifies this […]]]></description>
		
		
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