AI Audit Trail
What an AI audit trail should record across training and inference, and which parts stay with your team
How common regulations apply to training and running custom AI models, and which parts stay with your team.
What an AI audit trail should record across training and inference, and which parts stay with your team
How the CCPA and CPRA apply to personal information in AI training data and model outputs
How data residency and cross-border transfer rules apply to training and running custom AI models
How the EU AI Act's data governance, documentation and logging duties apply to custom AI models
How FERPA applies to training and running custom AI models on student education records
How GDPR applies to training custom AI models on personal data and running them in your own environment
How HIPAA applies to training custom AI models on health data and running them in your own environment
How ISO 27001 controls apply to AI training data, model weights and inference
How model governance and model risk management apply to custom AI models you train and own
How the NIST AI Risk Management Framework applies to training and running custom AI models
How PCI DSS applies to AI models trained on transaction data, and how to keep cardholder data out of training
How responsible AI principles apply to building, testing and running custom AI models
How SOC 2 applies to AI systems, and where a self-hosted custom model sits in your audit scope