Enterprise AI · Architecture & oversight

Bring shadow AI
into the light.

Understand where AI enters your systems—and where control breaks down. Veilguard starts with paid architecture reviews for enterprise engineering teams, with a monitoring agent and proxy in development.

Expert-led review today. A foundation for continuous oversight tomorrow.

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See what others miss

Visibility before enforcement.

Designed for complex systems.Built for engineering teams.

Our commitments

Clear scope before work beginsRecommendations, not alarmismBuilt around your architecture

01 / The architecture review

Know the exposure.
Choose the next move.

AI adoption rarely waits for a governance plan. Start with a focused look at your integrations, data paths, and control boundaries—not another tool to deploy.

Review first. Instrument with intention.

The Veilguard monitoring agent and proxy are in development. Architecture reviews are the starting point, not a promise of a production-ready platform.

01

Map the AI surface

Examine known AI integrations, service dependencies, and data flows. Identify where visibility is missing and where sensitive information may cross a boundary.

02

Challenge the control points

Review identity, access, routing, and logging decisions. Assess where monitoring or proxy-based controls could fit without disrupting engineering workflows.

03

Prioritize the response

Turn findings into a practical sequence of architecture decisions, mitigation options, and questions your team can take into implementation.

02 / Work with Veilguard

A focused engagement.
A clearer path forward.

Available reviews and current pricing are listed below. Choose an engagement to see its details and book.

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Make the invisible actionable

Your next AI decision
deserves a clearer view.

Start with the architecture. Build your controls on understanding, not assumptions.

Find your review