<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Agentic AI Architecture - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Agentic AI Architecture News feed</description>
    <item>
      <title>Cloudflare WriteGuard Brings Fine-Grained Security Controls for MCP Servers</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-writeguard-mcp-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-writeguard-mcp-safety/en/headerimage/cloudflare-writeguard-1787067902475.jpeg"/&gt;&lt;p&gt;Cloudflare is introducing WriteGuard, now in private beta, to provide fine-grained security controls for MCP (Model Context Protocol) servers. It aims to make AI agents safer by controlling their access to tools that can modify data or perform actions, rather than simply read information.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Agentic AI Architecture</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-writeguard-mcp-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-08-18T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-writeguard-mcp-safety/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Open-Sources Agentic Workflow for Causal Inference</title>
      <link>https://www.infoq.com/news/2026/08/netflix-oci-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/netflix-oci-agent/en/headerimage/generatedHeaderImage-1786886403321.jpg"/&gt;&lt;p&gt;Netflix open-sourced an agentic workflow for Observational Causal Inference (OCI) that reduces toil in causal analysis. Given observational data and the human user's analysis plan, the agent uses an actor-critic loop to estimate causality, write a report, and suggest next steps.&lt;/p&gt; &lt;i&gt;By Anthony Alford&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Netflix</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/netflix-oci-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</guid>
      <dc:creator>Anthony Alford</dc:creator>
      <dc:date>2026-08-18T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/netflix-oci-agent/en</dc:identifier>
    </item>
    <item>
      <title>SpaceXAI Launches Grok Bot for Autonomous AI Agents</title>
      <link>https://www.infoq.com/news/2026/08/grok-bot-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/grok-bot-agent/en/headerimage/generatedHeaderImage-1786979342385.jpg"/&gt;&lt;p&gt;SpaceXAI has introduced Grok Bot, a system of persistent AI agents that operate on dedicated cloud computers and can interact with websites, applications, inboxes, and other tools.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Software Development</category>
      <category>Agentic AI Architecture</category>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 18:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grok-bot-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-08-17T18:02:00Z</dc:date>
      <dc:identifier>/news/2026/08/grok-bot-agent/en</dc:identifier>
    </item>
    <item>
      <title>Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents</title>
      <link>https://www.infoq.com/news/2026/08/grab-ai-analytics-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/grab-ai-analytics-agents/en/headerimage/generatedHeaderImage-1786600049929.jpg"/&gt;&lt;p&gt;Grab is using AI agents to automate analytics workflows, cutting mechanical analyst work from 44% in February to 30% in June. Its approach combines agent autonomy, certified data, context management and human oversight, with self service analytics increasingly handling metric, data and SQL requests without analyst intervention.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Business Analysis</category>
      <category>Funnel Analysis</category>
      <category>autonomous</category>
      <category>AI Development</category>
      <category>Agentic AI Architecture</category>
      <category>Automation</category>
      <category>Data Analysis</category>
      <category>Slack</category>
      <category>Data Analytics</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 13:41:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grab-ai-analytics-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-17T13:41:00Z</dc:date>
      <dc:identifier>/news/2026/08/grab-ai-analytics-agents/en</dc:identifier>
    </item>
    <item>
      <title>AWS Open-Sources Dogwood, Extending Cedar to Govern Sequences of Agent Tool Calls</title>
      <link>https://www.infoq.com/news/2026/08/aws-dogwood-agent-policy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/aws-dogwood-agent-policy/en/headerimage/generatedHeaderImage-1786602838111.jpg"/&gt;&lt;p&gt;AWS has open-sourced Dogwood, a policy language extending Cedar with temporal conditions so rules can reason about an agent's prior tool calls rather than one request in isolation. It covers approvals, rate limits and running totals, ships under Apache 2.0, and is supported in AgentCore Policy, though the reference interpreter is not production-ready.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Agentic AI Architecture</category>
      <category>Open Source</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Access Control</category>
      <category>AWS</category>
      <category>Amazon Web Services</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 16 Aug 2026 07:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aws-dogwood-agent-policy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-16T07:26:00Z</dc:date>
      <dc:identifier>/news/2026/08/aws-dogwood-agent-policy/en</dc:identifier>
    </item>
  </channel>
</rss>
