<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Threat-Detection on AegisGate — Secure Every AI Interaction</title><link>https://aegisgatesecurity.io/tags/threat-detection/</link><description>Recent content in Threat-Detection on AegisGate — Secure Every AI Interaction</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Mon, 21 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aegisgatesecurity.io/tags/threat-detection/feed.xml" rel="self" type="application/rss+xml"/><item><title>The Billion-Dollar Challenge? We Already Built It.</title><link>https://aegisgatesecurity.io/blog/the-billion-dollar-challenge-we-already-built-it/</link><pubDate>Mon, 21 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/the-billion-dollar-challenge-we-already-built-it/</guid><description>Last Saturday, The Register published a piece titled &amp;ldquo;Agentic security is the billion-dollar challenge for some clever startup to solve.&amp;rdquo; Two cybersecurity investors — Matt Hartman (Merlin Group, ex-CISA) and Todd Graham (Microsoft&amp;rsquo;s M12 venture fund) — laid out exactly what they&amp;rsquo;re looking for.
We read it and thought: they&amp;rsquo;re describing our product.
Not a roadmap. Not a vision deck. The actual running code, deployed and tested.
What They Asked For vs.</description></item><item><title>Evidence Over Fear: Why AI Security Needs Proof, Not Panic</title><link>https://aegisgatesecurity.io/blog/evidence-over-fear-ai-security-needs-proof-not-panic/</link><pubDate>Sun, 20 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/evidence-over-fear-ai-security-needs-proof-not-panic/</guid><description>A recent IANS and Artico survey of more than 500 CISOs revealed something that should give everyone in security pause — and not for the obvious reason.
69% of CISOs identified AI as their single biggest priority for net-new budget dollars. 24% have carved out a separate budget line for AI security. Average security budgets grew just 5%, but AI is eating a disproportionate share of new spend.
That&amp;rsquo;s not the surprising part.</description></item><item><title>From Shadow to Shield: Validating 8.5M Requests and Flipping Our Detectors to Blocking</title><link>https://aegisgatesecurity.io/blog/from-shadow-to-shield-8-5m-requests-blocking-mode/</link><pubDate>Sun, 20 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/from-shadow-to-shield-8-5m-requests-blocking-mode/</guid><description>In our previous post, we analyzed real-world AI attack patterns from the last 90 days, ran them against our own detection stack, and found a 52.32% detection rate. We fixed six blind spots in our L1 regex patterns, achieved 100% on the adversarial test suite, and shipped v4.5.0.
That was Act I — the regex gaps. Act II was bigger.
The Question We Couldn&amp;rsquo;t Answer v4.5.0 shipped with five advanced detectors all in alert-only mode.</description></item><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>