Last week I visited Microsoft’s Quantum Lab at TU Delft, exploring advancements in quantum computing and its implications for cybersecurity, particularly regarding encryption. The rise of quantum technology necessitates new cryptographic methods to protect sensitive data against potential future threats.
Microsoft Ignite 2025 put a strong spotlight on the essential role of security, compliance, and governance in adopting AI at scale.
From new AI agent management capabilities to deeper data governance insights, it’s clear that responsible AI is becoming the backbone of every modern organization.
As enterprises embrace agentic AI, protecting sensitive data becomes mission-critical. This blog explores how Microsoft Purview enables real-time classification, labeling, and protection across Azure Cosmos DB and Blob Storage—ensuring agents only reveal what users are authorized to see.
With Purview SDK integration, your AI agents become policy-aware, enforcing DLP and access controls inline. A must-read for anyone building secure, scalable AI solutions.
Ok, in my previous post we configured RBS. In theory, all blobs added to the specific content database will we
Should you want to use Remote Blobs? And how can you enable these?
SharePoint 2010 is well established as a powerful platform for enabling (social) collaboration, portals and enterprise content management. As always,
In part one of the story we created a business connectivity connection to a SQL database. In this section we
One of my clients wants to use data from an external data source as one of the metadata fields within
Some time ago Microsoft released these posters. They are great and give you a comprehensive insight into SharePoint 2010. I’ve
Do your remember the SharePoint 2010 béta? It included a nice feature for the documentset. The possibility to save a
Ever wondered what Access Web Services looks like in SharePoint 2010 or what it offers on the functional site? Why
I just visited SharePoint Connections 2011 – in Amsterdam. To be honest: it was very small scale. Seeing how widely