The EDPB Support Pool of Experts report offers a risk-management methodology for privacy and data-protection risks in LLM systems. It includes practical mitigation ideas and chatbot, student-support, and schedule-management use cases.
The report supports a central business conclusion: a privacy-first AI company needs more than a model choice. It needs data mapping, purpose limitation, retention, access controls, prompt and document handling, evaluation, and incident response.
Private AI strategy and Private AI services use the report to ground AI governance as a concrete service line rather than an abstract compliance claim.
Built on 1 source (1 external).
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Sources
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Model contributions
Measured by git-blame lines per AI model (41 total).
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