Connected operations bring customer, payment and financial information together. That makes the work faster, and it makes the boundaries more important. Before you connect a system, agree where its data will move, who can reach it and which actions are permitted.

Make the boundary visible

Document the connected systems, the customer environment, the service providers involved and who is responsible for support. Align data access and operating procedures with the requirements of your business before production use, not after.

Ask the same questions for every Intelligence experience

Embedded workflows and customer-defined objectives should use only the approved context, models and tools in the selected deployment. Ask for retrieval, storage, inference and training terms separately. A private connection or a private data environment does not by itself guarantee that all model execution is private.

Give IT evidence to evaluate

Request the security documentation relevant to the services in scope. A useful assessment covers identity and access, data protection, monitoring, change management, recovery and incident responsibilities.

Know what a connection does not do

Connecting business data does not provide visibility into every vulnerability. Scanning requires asset access and appropriate security tooling, and vendor-managed and plant systems have their own patching and maintenance requirements. Any proposed security capability should have its coverage defined before release.

Related: Private AI Is More Than a Private Connection