Aegis Gateway Forces AI Requests Through Compliance Rules Before Any Model Selection

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A developer built Aegis Gateway to address a critical governance gap in enterprise AI deployments, where teams independently integrate with AI providers and sensitive data routing goes unaudited. The system acts as a single entry point that filters every model request through a strict three-stage pipeline: policy compliance check, ranked scoring, and fallback execution. A core design priority was preventing 'silent governance downgrades,' where a system routes restricted data to unapproved external providers during outages without triggering any alerts. To close this loophole, fallback logic is restricted to only previously approved, policy-compliant models — meaning if no compliant model is available, the request fails rather than silently bypassing rules. The architecture is aimed at regulated industries like finance and healthcare, where audit trails and provable routing decisions are a compliance requirement.

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