RBAC vs ABAC for AI Agent Permission Models
RBAC and ABAC each solve part of the problem; agents need both layers.
Yuki Novak
Section
AI Data Governance
12 stories in AI Data Governance.
Audit Logging and Query Lineage Tools Built for High-Volume AI Agent Workloads
Regulators now require audit trails that most companies' logging can't deliver.
Farah Serrano
Sensitivity Evaluation at Data Combination Points
Emergent sensitivity at data joins requires governance at query time, not field level.
Farah Serrano
Audit Log Requirements for AI Agent Query Volume
Regulators demand audit logs that prove who authorized AI agents and what data they accessed.
Nadia Kaur
Query-Time Permission Enforcement for AI Agents
Agents need permission checks at query time, not session start.
Farah Serrano
Open Source Data Governance Tools for AI Teams
Teams need governance built for AI—not just inventory of what data exists.
Owen Whitlock
Data Governance Policy Templates for AI Initiatives
AI agents fail on data governance, not model quality, and need purpose-built policies.
Farah Serrano
Dynamic Data Masking for AI Workloads
Dynamic masking evaluates privacy policy at query time, not at copy time.
Owen Whitlock
Data Lineage Tracking in AI Agent Pipelines
Autonomous agents need lineage designed for continuous, context-aware data chains.
Owen Whitlock
AI Governance Frameworks for Enterprise Data Teams
Four data-layer controls enterprises need to govern continuous AI agent access.
Owen Whitlock
AI Governance Platforms and Tools Comparison
Fixing failed AI projects requires governance at the data layer, not just the model.
Owen Whitlock
Data Stewardship Roles in ML Pipeline Ownership
Stewards must formally own ML datasets that span multiple data domains.
Owen Whitlock