Monetate acquires SiteSpect, uniting AI-native personalization and testing at enterprise scale.
AI systems are inherently unpredictable. Glasshouse introduces a deterministic validation layer that checks every action against rules that don’t change.
Instead of relying on best-case behavior, you define what’s allowed, what’s restricted, and what requires review.
Every AI-driven action is checked against those conditions before it proceeds.
That’s how non-deterministic systems become governable.
Most systems provide visibility into AI behavior after the fact. Glasshouse enforces governance in real time.
Every interaction is intercepted, evaluated, and controlled before it reaches your systems. If an action violates a rule, exceeds a threshold, or falls outside policy, it never reaches production in its original form.
It can be:
Governance isn’t reactive. It’s built into execution.
Glasshouse captures a complete record of how decisions are made.
For every action, you can trace:
This creates a fully auditable system of record that supports compliance reviews, debugging, reproducibility, and internal reporting.
Even when underlying models are opaque, their behavior is not.
Glasshouse applies governance where it matters most: at the point of execution.
By operating at the network layer, it can:
This ensures policies are enforced by design, not left to interpretation.
AI doesn’t always enter systems through planned deployments.
Glasshouse monitors network traffic for unregistered or unauthorized AI usage. When a new agent is detected, it can be intercepted, analyzed, and required to register before it’s allowed to proceed.
That gives organizations complete visibility and control across AI activity, not just the systems that were formally deployed.
Glasshouse doesn’t just monitor AI systems. It governs them.
By validating every action, enforcing every policy, and capturing every decision, it gives organizations the confidence to move from experimentation to production.
Because at scale, trust isn’t assumed. It’s engineered.
