<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Security | Shaoyang Cui</title><link>https://spidermonk7.github.io/tags/ai-security/</link><atom:link href="https://spidermonk7.github.io/tags/ai-security/index.xml" rel="self" type="application/rss+xml"/><description>AI Security</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 02 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://spidermonk7.github.io/media/icon_hu7729264130191091259.png</url><title>AI Security</title><link>https://spidermonk7.github.io/tags/ai-security/</link></image><item><title>ClawTrap - MITM-Based Red-Teaming for OpenClaw Security Evaluation</title><link>https://spidermonk7.github.io/ongoing-projects/clawtrap/</link><pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate><guid>https://spidermonk7.github.io/ongoing-projects/clawtrap/</guid><description>&lt;p>This research introduces ClawTrap, a MITM-based red-teaming framework designed for the real-world security evaluation of autonomous web agents like OpenClaw. To bridge the gap between static sandbox testing and live network threats, ClawTrap provides a reproducible pipeline for rule-driven interception, transformation, and auditing at the network layer.&lt;/p></description></item></channel></rss>