Total Control.  No Tradeoffs.

Glasshouse gives enterprises a secure way to govern AI behavior in real time, applying defined rules, thresholds, and policies before AI-driven actions reach production.

Govern the AI Interactions That Matter Most

Glasshouse provides teams with complete control over the AI interactions they choose to monitor, validate, and govern. Rather than relying on outputs alone, it evaluates behavior as it happens, helping organizations enforce boundaries before AI actions impact production systems.

A Deterministic Layer Around Non-Deterministic Systems

AI systems are probabilistic by design. Glasshouse introduces a deterministic validation layer that evaluates AI-driven behavior against defined business, security, and compliance rules.

This allows organizations to maintain flexibility while ensuring AI operates within approved boundaries.

Inspecting More Than Just Outputs

Most systems evaluate what AI produces. Glasshouse goes deeper by helping organizations understand how those outputs are generated.

With network-level visibility, Glasshouse can support reasoning trace analysis, workflow validation, and auditability across AI-driven systems, giving teams a clearer view into behavior that would otherwise remain opaque.

Real-Time Validation  and Intervention

Glasshouse evaluates AI-driven actions before they proceed. If behavior falls outside defined thresholds or policies, it can be flagged, adjusted, replaced, or routed for review before it reaches production.

This creates a safer path from experimentation to deployment without slowing teams down.

Built on Monetate’s Proxy Infrastructure

Glasshouse is powered by Forte, Monetate’s patented proxy architecture. By operating at the network layer, it can enforce governance close to the point of execution while maintaining the performance, stability, and flexibility enterprises require.

From Capability to Control

Glasshouse is not another AI add-on. It is a control layer for organizations that need to understand, validate, and govern AI behavior before it impacts real systems. By validating actions at the point of execution, it allows organizations to move from experimentation to production with confidence.

Because at scale, the question isn’t whether AI can act. It’s whether you control how it does.

Total Control. No Tradeoffs.