All news with #data governance tag

Building a security-first culture for agentic AI enterprises

🔒 Microsoft argues that as organizations adopt agentic AI, security must be a strategic priority that enables growth, trust, and continued innovation. The post identifies risks such as oversharing, data leakage, compliance gaps, and agent sprawl, and recommends three pillars: prepare for AI and agent integration, strengthen organization-wide skilling, and foster a security-first culture. It points to resources like Microsoft’s AI adoption model, Microsoft Learn, and the AI Skills Navigator to help operationalize these steps.

Amazon SageMaker Catalog Enforces Glossary Metadata

📌 Amazon SageMaker Catalog now enforces glossary-term metadata during asset publishing. Administrators can require data producers to tag assets with approved business vocabulary from organizational glossaries, and enforcement rules will block publication if required terms are missing. This standardizes metadata, aligns technical schemas with business language, and improves discoverability and governance. Available in all regions where Amazon SageMaker Catalog operates; policies can be managed via the console, CLI, or SDKs.

Amazon EMR Adds Spark FGAC and Glue Data Catalog Views

🔒 Amazon EMR on EC2 now supports Apache Spark native fine-grained access control (FGAC) through AWS Lake Formation and adds support for AWS Glue Data Catalog views. These capabilities let administrators define and enforce granular Lake Formation policies once and apply them consistently to Spark jobs and interactive sessions, reducing administrative overhead and security risk. Access checks support named resource grants, data filters, and tag-based controls and are logged in AWS CloudTrail for auditing.