10 questions to ask AI vendors about data usage
Blog post from Nylas
Enterprise AI vendor evaluations have evolved beyond simple security checks and marketing claims, as buyers now require a deeper understanding of data usage, governance decisions, and operational controls associated with AI interactions with sensitive information. While many AI vendors assert that they have governance programs, few can provide detailed answers about their data access processes, subprocessor relationships, and control mechanisms for automated actions. This guide provides enterprise buyers with ten critical questions to dissect vendor claims and presents how Nylas addresses each one. The text underscores the importance of these questions in closing the gap between traditional SaaS evaluations and the unique risks of AI-enabled software, emphasizing the necessity for transparency and documented processes in AI governance. It offers an Enterprise AI Vendor Evaluation Checklist to aid procurement and security reviews, noting that vendor responses—or the lack thereof—can reveal much about their governance maturity. Nylas's approach to AI governance is depicted as integrated with its broader security framework, highlighting the shared responsibility between vendors and customers in managing AI-related risks effectively.
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