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    <title>InfoQ - Continuous Integration</title>
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      <title>Neobank Monzo Builds Governed Data Mesh across 100 Teams and 12000 dbt Models</title>
      <link>https://www.infoq.com/news/2026/05/monzo-data-mesh/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Continuous+Integration</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/monzo-data-mesh/en/headerimage/generatedHeaderImage-1777979720119.jpg"/&gt;&lt;p&gt;Monzo recently redesigned its data warehouse to support more than 100 teams working on over 12000 dbt models. Introducing a so-called "meshy" approach, Monzo cut warehouse costs by about 40% and improved data delivery speed by 25%.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Data Mesh</category>
      <category>Data Analytics</category>
      <category>Continuous Delivery</category>
      <category>Continuous Integration</category>
      <category>Data Warehouse</category>
      <category>Data Warehousing</category>
      <category>Data Model</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Sun, 17 May 2026 11:02:00 GMT</pubDate>
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      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-05-17T11:02:00Z</dc:date>
      <dc:identifier>/news/2026/05/monzo-data-mesh/en</dc:identifier>
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    <item>
      <title>How GitHub Is Securing Agentic Workflows in Modern CI CD Systems</title>
      <link>https://www.infoq.com/news/2026/05/github-agentic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Continuous+Integration</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/github-agentic-workflows/en/headerimage/generatedHeaderImage-1777009566990.jpg"/&gt;&lt;p&gt;GitHub detailed a defense-in-depth security architecture for agentic workflows in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims to safely integrate autonomous AI agents while mitigating risks like prompt injection, privilege escalation, and unintended actions, using sandboxed environments, restricted permissions, and full execution traceability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Cloud Security</category>
      <category>Security</category>
      <category>Observability</category>
      <category>Workflow / BPM</category>
      <category>Continuous Deployment</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Logging</category>
      <category>Continuous Integration</category>
      <category>Continuous Improvement</category>
      <category>GitHub Actions</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 08 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/github-agentic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Continuous+Integration</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-08T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/github-agentic-workflows/en</dc:identifier>
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