Training-safety boundaries, data-handling controls, and compliance alignment — so shadow AI never becomes a data liability.
Every curriculum track opens with hard boundaries: no client PII, no unreleased financials, no proprietary source code pasted into consumer-tier tools. We drill the line between an internal sandbox and a public model.
We instruct your workforce on enabling zero-retention and enterprise data-controls settings on every AI tool in use — not generic advice, but tool-by-tool configuration checklists.
Written assurance that no client data, transcript, or document shared during training or advisory work is ever used to train a public language model — contractually, not just verbally.
Training content and advisory recommendations are structured to sit alongside your current SOC 2, GDPR, and internal data-governance obligations — not conflict with them.
Technical breakdown of safety boundaries, tool configuration, and data-handling commitments — ready to forward to legal.