AI Data Privacy & PII Management

Vendor Risk Assessment for AI Services

Evaluating AI vendors on data handling — comparing actual policies of OpenAI, Anthropic, Google, Microsoft, and AWS, reading SOC 2 reports for AI-specific risks, and building your assessment questionnaire.

Vendor trust is not binary

The question is not "should we trust this AI vendor?" The question is "what specific commitments does this vendor make about data handling, how are those commitments enforced, and what residual risk remains even with those commitments?"

Every major AI provider publishes data handling policies. Most enterprises read the marketing summary and skip the actual terms. This module teaches you to read the terms, identify the commitments that matter, spot the gaps, and ask the questions your vendor hopes you will not ask.

The distinction between what a vendor says ("Your data is safe with us") and what a vendor commits to in a legally binding agreement ("We will not use Customer Data to train models, we will retain Customer Data for no more than 30 days for abuse monitoring, and we will delete Customer Data upon written request within 30 days") is the difference between marketing and risk management.

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Your procurement team says: 'We have reviewed the vendor's website and their data handling seems fine.' What is the appropriate response?