Fintech / trading · Module 3

Why on-prem matters for regulated trading AI

For decision-desk teams whose data and review environment cannot assume cloud-only paths.

On-prem is not a shortcut around governance. It is an architectural boundary that matters when sensitive decision context cannot casually move through cloud-only systems.

The evaluation surface includes identity, access, logging, update cadence, model access, data retention, and how failures are contained.

Barg Labs is building Egbert for institutional decision infrastructure. This scaffold makes no specific capability, clearance, launch-timing, or commercial claims.

Why on-prem matters for regulated trading AI domain diagram — Draft for review: Where local deployment boundaries change regulated trading AI evaluation, and where governance work remains.

Why on-prem matters for regulated trading AI check

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Scaffold source: docs/runbooks/phase-3-fintech-industrial.md#e030