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Dev.to
Designing an AI Gateway for Regulated Enterprises
The article introduces Aegis Gateway, which addresses the compliance challenges faced by enterprises using AI models in regulated environments like finance and healthcare. It emphasizes the need for a structured approach to model selection, demonstrating how governance and availability can coexist without compromising compliance. The architecture prevents unauthorized model use through a strict decision-making process and emphasizes auditability.
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Published 26 Jul 2026, 08:50 UTC7 min read
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Summary
TL;DR
- Aegis Gateway ensures compliant AI model selection for regulated industries.
- Utilizes a three-stage decision process: policy filtering, ranking, and fallback.
- Emphasizes auditability and decision traceability for compliance verification.
- Prevents non-compliance through structural design, not just code review.
- Addresses challenges of multi-tenant governance in AI deployments.
Interesting facts
- The system cannot route sensitive data to non-compliant models, even under failure scenarios.
- Audit trails include decision traces that outline compliance reasoning.
- Aegis Gateway is designed to adapt without extensive code changes for new business units.