<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>K6 on AegisGate — Secure Every AI Interaction</title><link>https://aegisgatesecurity.io/tags/k6/</link><description>Recent content in K6 on AegisGate — Secure Every AI Interaction</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sat, 19 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aegisgatesecurity.io/tags/k6/feed.xml" rel="self" type="application/rss+xml"/><item><title>When the Attacks Shift, We Shift Too: Inside the v4.5.0 Detection Gap Closure</title><link>https://aegisgatesecurity.io/blog/when-the-attacks-shift-we-shift-too-v4.5.0-detection-parity/</link><pubDate>Sat, 19 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/when-the-attacks-shift-we-shift-too-v4.5.0-detection-parity/</guid><description>This week, the AI security landscape didn&amp;rsquo;t just shift — it accelerated. OpenAI disclosed six model misalignment incidents. New attack patterns surfaced in the wild. The tempo is picking up, and the distance between &amp;ldquo;novel attack&amp;rdquo; and &amp;ldquo;commodity technique&amp;rdquo; is shrinking.
At AegisGate, we asked ourselves a simple question: of the AI-led attacks observed over the last 90 days, how many would AegisGate have caught?
The honest answer surprised us. Not because the number was low — it was actually quite high.</description></item></channel></rss>