ML Training Data Access Control

This question asks if you control who can see and use the data that trains your AI systems. It's like having a locked vault for your company's secret recipes - only people who absolutely need access to do their jobs should be able to get in. This prevents data leaks, protects sensitive information, and ensures that your competitive advantages don't walk out the door with former employees.

Poor access control to training data is a compliance nightmare and competitive risk. One unauthorized access incident could expose customer data, violate GDPR or CCPA, and result in millions in fines. Enterprise clients specifically audit this because they know their data might become part of your training sets. Strong access controls demonstrate maturity and help you win deals with security-conscious customers who need assurance their data won't be mishandled.

Many companies grant broad access during development 'for convenience' and never tighten controls before production. Another mistake is tracking access at the dataset level rather than implementing fine-grained controls for specific data elements. Teams also forget that access control isn't just about current employees - it's about removing access when people change roles or leave.