Solo Dev Fixes 6 Detection Gaps in Open-Source AI Security Gateway AegisGate

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The developer behind AegisGate, an open-source self-hosted AI security gateway, discovered that the tool caught only 52.32% of real-world AI-led attacks observed over the past 90 days. An internal audit revealed six blind spots, including undetected server-side template injection, base64-obfuscated payloads, and conversational model-theft queries that bypassed pattern-based rules. The tool also missed variant phrasings for system prompt extraction and direct requests to disable safety mechanisms or expose sensitive system data. All six gaps were closed in a single development session by adding seven new regex detection patterns to the tool's existing multi-layered stack. The fixes highlight how quickly novel AI attack techniques are becoming commodity methods, narrowing the window for defenders to respond.

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