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	<title>Russell Dranch &#8211; Noise</title>
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		<title>Defending LLM applications against Unicode character smuggling</title>
		<link>https://noise.getoto.net/2025/09/30/defending-llm-applications-against-unicode-character-smuggling/</link>
		
		<dc:creator><![CDATA[Russell Dranch]]></dc:creator>
		<pubDate>Tue, 30 Sep 2025 16:22:14 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[Amazon Bedrock Guardrails]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[generative AI]]></category>
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					<description><![CDATA[When interacting with AI applications, even seemingly innocent elements—such as Unicode characters—can have significant implications for security and data integrity. At Amazon Web Services (AWS), we continuously evaluate and address emerging threats across aspects of AI systems. In this blog post, we explore Unicode tag blocks, a specific range of characters spanning from U+E0000 to […]]]></description>
		
		
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