<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Malware on CuraSec</title><link>https://curasec.metacog.co.kr/tags/ai-malware/</link><description>Recent content in Ai-Malware 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/ai-malware/index.xml" rel="self" type="application/rss+xml"/><item><title>Unit 42: State of AI-Enabled Malware August 2026 Report</title><link>https://curasec.metacog.co.kr/insights/2026-08-25-the-state-of-ai-enabled-malware-august-2026-from-brand-abuse/</link><pubDate>Tue, 25 Aug 2026 11:39:54 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-08-25-the-state-of-ai-enabled-malware-august-2026-from-brand-abuse/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Research on AI-authored malware and agentic execution techniques is worth reviewing to understand how these threats interact with build/CI environments, but no exploited CVEs or supply-chain IOCs are present requiring immediate action.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Plan:&lt;/strong> Unit 42&amp;rsquo;s analysis of AI-enabled malware TTPs — including brand abuse lures and agentic execution chains — is worth translating into behavioral detection tuning this quarter; review the report for any new evasion patterns to add to endpoint analytics rules.&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> This report provides useful benchmarking data on the maturation of AI-assisted threats, suitable for future board deck context on the AI threat landscape, but requires no immediate leadership action.&lt;/li>
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