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    <title>InfoQ - AI Security</title>
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    <description>InfoQ AI Security feed</description>
    <item>
      <title>Presentation: Exploding GPUs and the AI Infrastructure Challenge</title>
      <link>https://www.infoq.com/presentations/ai-security-kubernetes-gpu-threats/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Security</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-security-kubernetes-gpu-threats/en/mediumimage/andrew-martin-medium-1790846331295.jpeg"/&gt;&lt;p&gt;Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.&lt;/p&gt; &lt;i&gt;By Andrew Martin&lt;/i&gt;</description>
      <category>Containers</category>
      <category>Agents</category>
      <category>Cloud-Native</category>
      <category>Kubernetes</category>
      <category>Transcripts</category>
      <category>Infrastructure</category>
      <category>QCon London 2026</category>
      <category>AI Security</category>
      <category>GPU</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Fri, 16 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-security-kubernetes-gpu-threats/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Security</guid>
      <dc:creator>Andrew Martin</dc:creator>
      <dc:date>2026-10-16T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-security-kubernetes-gpu-threats/en</dc:identifier>
    </item>
    <item>
      <title>Chainguard Launches Secure Workspaces and Checks for AI Coding Agents</title>
      <link>https://www.infoq.com/news/2026/10/chainguard-workspaces-checks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Security</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/chainguard-workspaces-checks/en/headerimage/generatedHeaderImage-1792079610138.jpg"/&gt;&lt;p&gt;Software supply chain security company Chainguard has announced two beta products for running and testing code written by developers and AI agents. Chainguard Workspaces provides remote development environments based on hardened microVMs, while Chainguard Checks moves continuous integration into the development loop. The company announced both products at its Assemble London event.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Containers</category>
      <category>AI Security</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/chainguard-workspaces-checks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Security</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-10-16T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/chainguard-workspaces-checks/en</dc:identifier>
    </item>
    <item>
      <title>Meta Extends Confidential Computing to AI Glasses with Private Processing</title>
      <link>https://www.infoq.com/news/2026/10/meta-private-process-ai-glasses/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Security</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/meta-private-process-ai-glasses/en/headerimage/generatedHeaderImage-1790823797609.jpg"/&gt;&lt;p&gt;Meta has extended Private Processing to AI glasses, using confidential VMs, trusted execution environments, remote attestation, anonymous credentials, OHTTP routing, and TEE-based storage to process AI workloads and persistent user context in the cloud.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Storage</category>
      <category>Privacy</category>
      <category>Data Privacy</category>
      <category>Wearable Tech</category>
      <category>VM</category>
      <category>Facebook</category>
      <category>Trust</category>
      <category>AI Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 14 Oct 2026 13:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/meta-private-process-ai-glasses/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Security</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-14T13:57:00Z</dc:date>
      <dc:identifier>/news/2026/10/meta-private-process-ai-glasses/en</dc:identifier>
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