Compliant
Does the data meet security, regulatory, and auditability requirements for AI use?
The Shift
AI introduces new compliance risks that traditional data governance doesn't address. Model outputs may need to be explained. Automated decisions may need to be reproduced months later. Sensitive data may be exposed to models in unexpected ways—an agent summarizing customer emails might inadvertently surface PII in its responses. The compliance surface area has expanded.
Requirements
What must be true about the data itself.
- Sensitive data protected before AI consumption
- Regulatory compliance demonstrable
- Past data states reproducible
Capabilities
What your infrastructure must support.
Role-based access control (RBAC)
Fine-grained permissions on who can access what
Dynamic data masking
Protect PII/sensitive data based on consumer context
Column/row-level security
Restrict access to specific fields or records
Audit logging
Track who accessed what data and when
Data versioning / time travel
Query historical data states at any point in time
Point-in-time reproducibility
Reconstruct exact inputs to any past AI decision