Topic hub
Controls Technology
A control only protects the business if it runs reliably and can prove that it ran. This hub treats controls as engineered systems: the frameworks that define them, the platform features that enforce them, and the evidence that shows they worked.
Controls automation · continuous monitoring · assurance · evidence
Control and risk frameworks
How controls are defined, measured and tied to business goals.
- Framework
COBIT Explained
COBIT 2019 as the link between stakeholder goals and measurable IT governance, including AI and enterprise risk.
- Framework
DAMA: Data Is No Longer an IT Asset, It's a Regulated Business Control
DAMA-DMBOK read as a control framework for regulated enterprises, connecting data trust to board-level accountability.
- Framework
Understanding FAIR: Quantifying Information Risk with Data, Not Guesswork
Quantifying information risk in financial terms instead of red-amber-green heat maps.
Controls built into the platform
Where data and identity architecture does the control work.
- Architecture
Unity Catalog: Overrated or Misunderstood?
What Unity Catalog should enforce as a governance control plane, and what remains outside its control boundary.
- Series · 3 of 4
Part 3: Identity Is Not Authorization: API Permissions, Access Tokens and Azure RBAC Explained
A valid identity is not unlimited authorization. Each of these adds a distinct layer of control.
- Back2Front
Full Load vs Incremental Load: Azure Data Factory + Azure Databricks Quick Study Guide
Full load starts over; incremental load remembers where it left off. That memory makes it efficient and creates the need for stronger controls.
This is the newest of the four hubs. Controls automation, continuous monitoring and evidence are the areas it will cover next.