<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Security</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Security feed</description>
    <item>
      <title>Article: Artificial Intelligence-Driven Phishing: How Phishing Technique Is Evolving and Implemented</title>
      <link>https://www.infoq.com/articles/artificial-intelligence-driven-phishing/?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/artificial-intelligence-driven-phishing/en/headerimage/header-artificial-intelligence-driven-phishing-1780562847202.jpg"/&gt;&lt;p&gt;In this article, the author examines how AI is transforming phishing from a manual, targeted activity into an automated and scalable attack model. The article breaks down each stage of the phishing lifecycle, showing how AI improves reconnaissance, profiling, content generation, delivery, and interaction, while outlining layered defenses that combine controls, processes, and user awareness.&lt;/p&gt; &lt;i&gt;By Marco Rizzi&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Artificial Intelligence</category>
      <category>Application Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 08 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/artificial-intelligence-driven-phishing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</guid>
      <dc:creator>Marco Rizzi</dc:creator>
      <dc:date>2026-06-08T11:00:00Z</dc:date>
      <dc:identifier>/articles/artificial-intelligence-driven-phishing/en</dc:identifier>
    </item>
    <item>
      <title>How OpenAI Built a Secure Windows Sandbox for Codex Agents</title>
      <link>https://www.infoq.com/news/2026/06/codex-windows-sandbox-design/?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/2026/06/codex-windows-sandbox-design/en/headerimage/generatedHeaderImage-1780184710031.jpg"/&gt;&lt;p&gt;OpenAI details Codex Windows sandbox architecture, showing how SIDs, ACLs, restricted tokens, and dedicated sandbox accounts enable safe execution of autonomous coding tasks. The design balances isolation with real developer workflows and shows how OS security primitives must be composed for AI agents on local development environments.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Identity Management</category>
      <category>IDE</category>
      <category>Access Control</category>
      <category>Security</category>
      <category>AI Assisted Coding</category>
      <category>Integrated Development Environment</category>
      <category>CLI</category>
      <category>Operating Systems</category>
      <category>Design Systems</category>
      <category>Windows</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 05 Jun 2026 14:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/codex-windows-sandbox-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-05T14:37:00Z</dc:date>
      <dc:identifier>/news/2026/06/codex-windows-sandbox-design/en</dc:identifier>
    </item>
    <item>
      <title>Article Series: Securing the AI Stack: from Model to Production</title>
      <link>https://www.infoq.com/articles/secure-ai-stack-model-production-series/?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/secure-ai-stack-model-production-series/en/headerimage/Article-Series-Securing-the-AI-Stack-From-Model-to-Production-header-image-1780040531515.jpg"/&gt;&lt;p&gt;This series provides your roadmap for the machine age, exploring how to move from vulnerable prototypes to resilient systems through layered defense, robust MLOps, and integrated governance.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Security</category>
      <category>AI Security</category>
      <category>Artificial Intelligence</category>
      <category>Article Series</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Fri, 05 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/secure-ai-stack-model-production-series/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-06-05T09:00:00Z</dc:date>
      <dc:identifier>/articles/secure-ai-stack-model-production-series/en</dc:identifier>
    </item>
    <item>
      <title>Arm Open-Sources Metis, an AI Security Framework Outperforming Traditional SAST Tools</title>
      <link>https://www.infoq.com/news/2026/05/arm-metis-agentic-security/?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/2026/05/arm-metis-agentic-security/en/headerimage/arm-metis-1780165811953.jpeg"/&gt;&lt;p&gt;Arm has open-sourced Metis, an agentic AI security framework designed to autonomously uncover complex software vulnerabilities. Unlike traditional pattern-based tools, Metis applies semantic reasoning to analyze cross-component dependencies and provides clear, natural language explanations for its findings.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>ARM</category>
      <category>Security</category>
      <category>Open Source</category>
      <category>Static Analysis</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Security Vulnerabilities</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 30 May 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/arm-metis-agentic-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Security</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-05-30T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/arm-metis-agentic-security/en</dc:identifier>
    </item>
  </channel>
</rss>
