https://aegisgatesecurity.io/tags/adversarial-testing/Recent content in Adversarial-Testing on AegisGate — Secure Every AI InteractionHugo -- gohugo.ioen-usSun, 20 Sep 2026 00:00:00 +0000https://aegisgatesecurity.io/blog/from-shadow-to-shield-8-5m-requests-blocking-mode/Sun, 20 Sep 2026 00:00:00 +0000https://aegisgatesecurity.io/blog/from-shadow-to-shield-8-5m-requests-blocking-mode/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’t Answer v4.5.0 shipped with five advanced detectors all in alert-only mode.https://aegisgatesecurity.io/blog/when-the-attacks-shift-we-shift-too-v4.5.0-detection-parity/Sat, 19 Sep 2026 00:00:00 +0000https://aegisgatesecurity.io/blog/when-the-attacks-shift-we-shift-too-v4.5.0-detection-parity/This week, the AI security landscape didn’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 “novel attack” and “commodity technique” 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.