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      <title>Article: Securing Autonomous AI Agents on Kubernetes: Trust Boundaries, Secrets, and Observability for a New Category of Cloud Workload</title>
      <link>https://www.infoq.com/articles/securing-autonomous-ai-agents-kubernetes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/securing-autonomous-ai-agents-kubernetes/en/headerimage/securing-autonomous-ai-agents-kubernetes-header-1777378848477.jpg"/&gt;&lt;p&gt;Autonomous AI agents break Kubernetes security assumptions with dynamic dependencies, multi-domain credentials, and unpredictable resource use. This article covers production-tested patterns: Job-based isolation, Vault for scoped short-lived credentials, a four-phase trust model from shadow mode to autonomous operation, and observability for non-deterministic reasoning cycles.&lt;/p&gt; &lt;i&gt;By Nik Kale&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Kubernetes</category>
      <category>Security</category>
      <category>Observability</category>
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      <category>article</category>
      <pubDate>Fri, 01 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/securing-autonomous-ai-agents-kubernetes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</guid>
      <dc:creator>Nik Kale</dc:creator>
      <dc:date>2026-05-01T09:00:00Z</dc:date>
      <dc:identifier>/articles/securing-autonomous-ai-agents-kubernetes/en</dc:identifier>
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      <title>Article: CodeGuardian: a Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning</title>
      <link>https://www.infoq.com/articles/ai-code-guardian/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/ai-code-guardian/en/headerimage/ai-code-guardian-header-1776157217464.jpg"/&gt;&lt;p&gt;CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis capabilities. By implementing eleven specialized tools, CodeGuardian enables developers to access enterprise-grade analysis directly through their AI assistant, eliminating context-switching and reducing friction in adopting secure coding practices.&lt;/p&gt; &lt;i&gt;By Madhvesh Kumar, Deepika Singh&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Assisted Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Tue, 28 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-code-guardian/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</guid>
      <dc:creator>Madhvesh Kumar, Deepika Singh</dc:creator>
      <dc:date>2026-04-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/ai-code-guardian/en</dc:identifier>
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