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      <title>Article: Multi-Agent AI for Production Security Operations: An A2A and MCP Architecture in a 5G Core</title>
      <link>https://www.infoq.com/articles/multi-agent-security-operations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</link>
      <description>&lt;img src="https://res.infoq.com/articles/multi-agent-security-operations/en/headerimage/Multi-Agent-AI-for-Production-Security-Operations-header-image-1784628074663.jpg"/&gt;&lt;p&gt;The bottleneck in a mature SOC is rarely analyst triage; rather, it is the detection-engineering team's ability to keep the rule base aligned with a threat landscape that evolves faster than rules can be written. Learn how  multi-agent system for production security operations has reduced mean times to detect and to respond by 40% and compressed the human work required by 12x.&lt;/p&gt; &lt;i&gt;By Willem Berroubache&lt;/i&gt;</description>
      <category>Threat detection</category>
      <category>Agent2Agent</category>
      <category>Security Assessment</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Thu, 23 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/multi-agent-security-operations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</guid>
      <dc:creator>Willem Berroubache</dc:creator>
      <dc:date>2026-07-23T09:00:00Z</dc:date>
      <dc:identifier>/articles/multi-agent-security-operations/en</dc:identifier>
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    <item>
      <title>Anthropic Details How it Contains Claude across Web, Code, and Cowork</title>
      <link>https://www.infoq.com/news/2026/07/anthropic-claude-containment/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/anthropic-claude-containment/en/headerimage/Anthropic-Header-1784707138026.jpeg"/&gt;&lt;p&gt;Anthropic detailed the containment architectures it uses for Claude across its products. It argues that agent safety depends on placing deterministic limits on an agent’s filesystem, network, and execution environment rather than on permission prompts or safeguards. Most notably, it examines failures at trust boundaries and along permitted egress paths that led Anthropic to revise those designs.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>Claude</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>AI Security</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 22 Jul 2026 12:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/anthropic-claude-containment/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</guid>
      <dc:creator>Eran Stiller</dc:creator>
      <dc:date>2026-07-22T12:25:00Z</dc:date>
      <dc:identifier>/news/2026/07/anthropic-claude-containment/en</dc:identifier>
    </item>
    <item>
      <title>QCon AI Boston: Production AI Moves beyond Prompts to Platforms, Harnesses, and Evals</title>
      <link>https://www.infoq.com/news/2026/07/production-ai-platforms-evals/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/production-ai-platforms-evals/en/headerimage/production-ai-platforms-evals-header-1784186327712.jpg"/&gt;&lt;p&gt;QCon AI Boston 2026 focused on the operational challenges of deploying AI agents, emphasizing the need for robust production infrastructure. Key themes included improving context management, ensuring security through a "harness" around agents, and adopting a comprehensive engineering model for AI.&lt;/p&gt; &lt;i&gt;By Tatiana Fesenko&lt;/i&gt;</description>
      <category>Infrastructure</category>
      <category>Model</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Productivity</category>
      <category>QCon Software Development Conference</category>
      <category>Platforms</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 17 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/production-ai-platforms-evals/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</guid>
      <dc:creator>Tatiana Fesenko</dc:creator>
      <dc:date>2026-07-17T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/production-ai-platforms-evals/en</dc:identifier>
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