1 min read
Security Fundamentals in Microsoft Fabric
Security is foundational to any data platform. Today I'm exploring the security architecture and best practices in Microsoft Fabric.
Data Protection
7 articles
1 min read
GDPR and AI: Practical Compliance for ML Systems
GDPR's implications for AI are practical, not theoretical: logging decisions, maintaining provenance, and ensuring human review where necessary are the…
1 min read
PII Detection and Protection in AI Applications
Implementing comprehensive PII detection and protection strategies for AI applications.
1 min read
Microsoft Fabric Security: Protecting Your Data Platform
Security is an ongoing responsibility. Tomorrow, I will cover Workspace Roles in more detail.
1 min read
Power BI Object-Level Security: Protecting Tables and Columns
Object Level Security provides an additional security layer: Protect sensitive columns from unauthorized access Hide entire tables from roles Complement RLS…
1 min read
Differential Privacy in Machine Learning: Protecting Individual Data
Differential privacy ensures that the output of a computation doesn't reveal whether any individual's data was included. The key insight: add calibrated…
2 min read
Azure Confidential Computing - Protecting Data in Use
Confidential Computing addresses the attack surface that most cloud encryption doesn't touch: data while it's actively being processed in memory. Encryption…