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      <title>Article: Trustworthy Productivity: Securing AI Accelerated Development</title>
      <link>https://www.infoq.com/articles/secure-ai-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+San+Francisco+2025-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/secure-ai-development/en/headerimage/header-1765541260371.jpg"/&gt;&lt;p&gt;Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.&lt;/p&gt; &lt;i&gt;By Sriram Madapusi Vasudevan&lt;/i&gt;</description>
      <category>Application Security</category>
      <category>QCon Software Development Conference</category>
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      <category>QCon San Francisco 2025</category>
      <category>Architecture</category>
      <category>Security</category>
      <category>AI Architecture</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Tue, 16 Dec 2025 09:00:00 GMT</pubDate>
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      <dc:creator>Sriram Madapusi Vasudevan</dc:creator>
      <dc:date>2025-12-16T09:00:00Z</dc:date>
      <dc:identifier>/articles/secure-ai-development/en</dc:identifier>
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