<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deepfake-Detection on CuraSec</title><link>https://curasec.metacog.co.kr/tags/deepfake-detection/</link><description>Recent content in Deepfake-Detection on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 19 Oct 2026 18:41:36 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/deepfake-detection/index.xml" rel="self" type="application/rss+xml"/><item><title>ENF-Based Forensic Framework for Authenticating Video Against AI Generation</title><link>https://curasec.metacog.co.kr/insights/2026-10-19-an-agentic-enf-framework-for-forensic-video-authentication-a/</link><pubDate>Mon, 19 Oct 2026 18:41:36 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-10-19-an-agentic-enf-framework-for-forensic-video-authentication-a/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Novel forensic technique using electric network frequency (ENF) consistency as an authenticity signal — relevant for engineers building video verification pipelines or media-integrity tooling. No immediate patch or config change needed.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Learn:&lt;/strong> The finding that ENF-band flicker appears in AI-generated video at similar prominence to real footage is a useful calibration point for analysts handling deepfake evidence in investigations; yields no detection rule or IOC today.&lt;/li>
&lt;li>&lt;strong>Leader — Skip&lt;/strong>&lt;/li>
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