FrameBright.ai/Research/AEGIS architecture overview
Research note · Abstract · FrameBright.ai · 2026

AEGIS architecture overview

An overview of the AEGIS classification engine: nine purpose-built detectors running in parallel, an ensemble verdict layer, and the deployment topology that lets the same engine ship as a network-edge component, a device-embedded component, and an enterprise service. Covers the design tradeoffs that distinguish AEGIS from LLM-wrapper classifiers.

Authors
Eric MacDougall, Tisha Becker
Year
2026

Abstract

An overview of the AEGIS classification engine: nine purpose-built detectors running in parallel, an ensemble verdict layer, and the deployment topology that lets the same engine ship as a network-edge component, a device-embedded component, and an enterprise service. Covers the design tradeoffs that distinguish AEGIS from LLM-wrapper classifiers.

Status

Research note · full PDF pending. This page is the canonical abstract for now. The complete paper publishes once we finalize external review and distribution; this page links to it on the same URL when ready. Subscribe for release alerts via contact · research interest.