Industries · Dallas–Fort Worth, Texas
Security and AI risk in manufacturing
A breach is an interruption problem before it is a data problem. The plant runs on operational technology that was never designed for the internet, and support access to it is often permanent. We help mid-market manufacturers in Dallas–Fort Worth find and fix those gaps without stopping production.
The risks specific to manufacturing
Manufacturing security work has one constraint the office does not: the line has to keep running. Every recommendation has to survive that constraint or it will not be implemented.
OT and ICS exposure
PLCs, HMIs, and engineering workstations are often reachable from the corporate network. Equipment vendors keep remote support access for years, and legacy Windows in the plant cannot be patched on the office schedule.
Downtime and recovery
An incident in the plant is a production event. Recovery plans usually cover the office and not the line, and nobody has tested how long the plant takes to come back.
Supplier and customer obligations
Supplier portals, CAD and engineering data, customer security requirements, and the insurance renewal all ask for evidence. The evidence is usually spread across three departments.
Where AI changes the picture
Manufacturers are adopting predictive maintenance, quality inspection, and AI features inside ERP and MES platforms. The models are useful; the data flows and vendor terms around them are usually undocumented.
- Plant and production data sent to model vendors with no review of where it is stored or how long it is kept.
- AI features switched on inside ERP, MES, or quality systems without an owner or a recorded decision.
- Engineers and planners pasting drawings, BOMs, or supplier data into public models to save time.
What we ask before anything else
- Which plant systems are reachable from the office network, and who put them there?
- Which equipment vendors hold remote access, and when was it last used or reviewed?
- How long does the plant actually take to recover from a system outage, and has that been tested?
- Which AI tools touch production or engineering data, and who approved each one?
What we do about it
The entry point is the paid Security & AI Risk Diagnostic: 15 business days, $9,500 for one site, $12,500 for two, $14,500 for three or more.
Start with the diagnostic.
Tell us which plant systems matter most and what the uptime constraint is. The diagnostic sequences the fixes so production keeps running.