<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Enterprise-Risk on CuraSec</title><link>https://curasec.metacog.co.kr/tags/enterprise-risk/</link><description>Recent content in Enterprise-Risk on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 25 Aug 2026 11:39:54 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/enterprise-risk/index.xml" rel="self" type="application/rss+xml"/><item><title>Akamai Research: Top 5% of AI Super-Adopters Drive Outsized Enterprise Risk</title><link>https://curasec.metacog.co.kr/insights/2026-08-25-the-outsized-shadow-why-5-of-ai-users-are-your-biggest-secur/</link><pubDate>Tue, 25 Aug 2026 11:39:54 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-08-25-the-outsized-shadow-why-5-of-ai-users-are-your-biggest-secur/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Vendor-sourced (Akamai) but the framing that a small cohort of AI power users embedding unvetted tools into critical workflows creates concentrated risk is worth noting when building AI acceptable-use policy — size this against your own AI usage data before citing it to the board, given the single-source provenance.&lt;/li>
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