Grid, pipeline, water, and nuclear operators want AI on the operational and asset data that can never be allowed to leak or be tampered with. Globenova lets control-room and engineering teams use it without exposing control-system detail, crossing the IT/OT boundary, or losing the record a regulator and an incident review will ask for.
Operational technology, SCADA and historian data, asset and topology models, and incident records are where AI can cut response time, and where exposure or tampering carries physical and safety consequences. Control-system detail under protective marking, safety-instrumented logic, and outage and vulnerability context all carry constraints a general-purpose AI tool does not understand. Operators must be able to show the control held. The need is to let engineers and analysts work while the IT/OT boundary holds at the moment of use, and while every action becomes evidence rather than exposure.
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 critical-infrastructure work it keeps control-system detail, network topology, and safety logic from reaching a model or crossing the IT/OT boundary, and produces evidence an auditor or incident reviewer can read.
Forge generates high-fidelity synthetic operational data inside your environment, so models and detection logic can be built and tested without real telemetry, topology, or asset records ever leaving custody. Teams get synthetic equivalents of historian and sensor data for development and tabletop exercises without exposing the live system.
An operator uses an AI assistant to triage an alarm flood. Globenova keeps control-system detail and topology from leaving the OT boundary, and records the decision for the incident trail.
An engineer uses a vendor AI tool on maintenance history. Globenova redacts asset identifiers and protective-relay logic before they reach an external model.
Every decision is written to a tamper-evident log, so control attestations and post-incident reviews are supported by records, not assertions.
Forge produces synthetic historian and sensor data inside your environment, so anomaly-detection models are built and tested without exposing the live system.
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 authority.
A short working session on where AI tools reach control-system data, topology, and incident context today, where the IT/OT boundary is thin, and what Globenova would inspect. Your environment, your synthetic data, no commitment.