Before Sending Company Data to an AI Service
Review the data, provider settings, access controls and contractual requirements before sending confidential company information to an AI service.
Before Sending Company Data to an AI Service
Start with the data flow
Identify what information would leave the company, which provider receives it and which user or system triggers the request. Do not assume that a product name, enterprise label or private deployment automatically resolves every privacy obligation.
Questions to resolve
Compare deployment options
A managed service can simplify operation, while self-hosting adds responsibility for infrastructure, updates, permissions and monitoring. Assess the whole system rather than treating one option as automatically secure or compliant.
Pilot with appropriate material
Begin with non-sensitive test data. Check access boundaries, logging and failure handling. Keep credentials outside source code and avoid giving an assistant unrestricted access to operational systems.
Confirm the agreement
Provider policies and product settings change. Read the documentation for the exact service and account you will use, and obtain appropriate privacy or legal review for your actual data flows. This article does not determine compliance for your organisation.
Use this guidance in context
Technical examples are starting points for a project review. Platform requirements change, and results depend on implementation and starting conditions. Refer to the linked documentation and test the actual workflow.
Send a correction with the page URL to hello@kaamlabs.in.
Consult the source for current requirements and the context of each referenced statement.
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