<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>数据泄露防护 on AI内参</title>
    <link>https://www.neican.ai/tags/%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E9%98%B2%E6%8A%A4/</link>
    <description>Recent content in 数据泄露防护 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Fri, 11 Jul 2025 07:40:05 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E9%98%B2%E6%8A%A4/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>从“影子AI”的隐匿危机到企业智能安全的范式重构：万亿美元资产守护的深层启示</title>
      <link>https://www.neican.ai/insights/article-20250711074005474-2/</link>
      <pubDate>Fri, 11 Jul 2025 07:40:05 +0800</pubDate>
      <guid>https://www.neican.ai/insights/article-20250711074005474-2/</guid>
      <description>本文深入剖析了“影子AI”对企业数据安全的严峻威胁，强调了其引发的万亿美元级资产潜在风险和迫切的AI治理需求。文章以Clearwater Analytics的实践为例，揭示了企业从被动防御转向主动构建全面AI安全与治理框架的范式变迁，并展望了AI安全赛道的商业潜力与未来发展路径。</description>
    </item>
  </channel>
</rss>
