<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Governance</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Governance feed</description>
    <item>
      <title>Microsoft Moves AI Governance from Policy to Runtime Enforcement</title>
      <link>https://www.infoq.com/news/2026/08/microsoft-ai-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Governance</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/microsoft-ai-governance/en/headerimage/generatedHeaderImage-1786848804302.jpg"/&gt;&lt;p&gt;Microsoft has outlined an AI governance architecture spanning nine governance domains and four functions: policy, control, visibility, and proof. The approach connects policies with runtime enforcement, continuous evaluation, observability, identity, security, and audit evidence to help organizations verify governance requirements as AI applications and agents operate in production.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Policy</category>
      <category>API Gateway</category>
      <category>Compliance</category>
      <category>Cloud Foundry</category>
      <category>Agents</category>
      <category>Governance</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Security</category>
      <category>Microsoft</category>
      <category>Observability</category>
      <category>Model Evaluation</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 24 Aug 2026 13:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/microsoft-ai-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Governance</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-24T13:49:00Z</dc:date>
      <dc:identifier>/news/2026/08/microsoft-ai-governance/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Turns Engineering Standards into an AI-Enforced Control System</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-ai-enforcement/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Governance</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-ai-enforcement/en/headerimage/generatedHeaderImage-1786356220839.jpg"/&gt;&lt;p&gt;Cloudflare has recently detailed how it is using AI to transform internal engineering standards from passive documentation into an actively enforced control system across the software development lifecycle.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Site Reliability Engineering</category>
      <category>Artificial Intelligence</category>
      <category>Governance</category>
      <category>AI Development</category>
      <category>Software Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 21 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-ai-enforcement/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Governance</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-08-21T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-ai-enforcement/en</dc:identifier>
    </item>
    <item>
      <title>Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules</title>
      <link>https://www.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Governance</link>
      <description>&lt;img src="https://res.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/en/headerimage/header-1786428822427.jpg"/&gt;&lt;p&gt;Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate evolutionary architecture governance with continuous, calibrated feedback loops.&lt;/p&gt; &lt;i&gt;By Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy&lt;/i&gt;</description>
      <category>Architecture ICSAET</category>
      <category>Evolutionary Architecture</category>
      <category>Architecture Decision Records</category>
      <category>InfoQ Certification Program</category>
      <category>Governance</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Code Quality</category>
      <category>Agentic AI Architecture</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 17 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Governance</guid>
      <dc:creator>Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy</dc:creator>
      <dc:date>2026-08-17T11:00:00Z</dc:date>
      <dc:identifier>/articles/agentic-fitness-functions-evolutionary-architecture/en</dc:identifier>
    </item>
  </channel>
</rss>
