Departments are under pressure to adopt AI and under obligation to stay accountable for it. Globenova lets a department put AI to work at Protected B while keeping data in its custody, in its jurisdiction, and on the record.
Public servants want modern AI tools, and the public expects the institution to remain accountable for how citizen information is used. Commercial platforms accept anonymous agent traffic and offer the department little it can show an assessor. The path to an Authority to Operate runs through ITSG-33 and Protected B handling, data residency in your jurisdiction, and an evidence trail. The need is to let departments adopt AI without exfiltration risk, in both official languages, and to produce the evidence a security assessment requires.
Every prompt, retrieval, tool call, and response your teams' AI makes passes through Sentinel first. It classifies what is flowing and who is handling it, then allows, redacts, blocks, or escalates in real time, and records every decision to a tamper-evident log. For a department it sits at the boundary, classifies every operation, blocks what should not leave, and produces the evidence a security assessment and an Authority to Operate require.
Forge generates high-fidelity synthetic data inside your environment, so models can be built and tested without the protected source ever leaving custody. Departments build and test AI on synthetic data generated inside their environment, so protected source information is never exposed during development.
A department lets staff use enterprise AI. Globenova sits at the boundary, classifies every operation, and blocks what should not leave, with each decision recorded.
Every decision is written to a tamper-evident log, so the controls in a security assessment can be substantiated by records rather than narrative.
Operators are told why something was blocked in their working language, in English and French, meeting Official Languages obligations.
Forge generates synthetic data inside the department's environment, so AI is developed and tested without exposing protected source information.
Globenova is built for these frameworks and is designed to support them in deployment. These statements describe what the platform is engineered toward, not a claim of certification by any regulator.
A short working session on where AI tools already reach protected information, where the department carries accountability today, and what Globenova would inspect at each point. Your environment, your synthetic data, no commitment.