If you’ve been following my blog, you know I’m a big fan of Microsoft 365 Copilot and AI in particular. But as an IT professional, you also know that with all this possibilities, comes a whole new set of security headaches. How do you keep track of all those used AI in your company? Where are possible data leaks? And are your users using unmanaged "shadow" AI tools (okay, I just mean ChatGPT)? Microsoft just dropped a solution to these questions: the Security Dashboard for AI

Microsoft Copilot is powerful. But as more organizations embrace AI, it's crucial to ensure that Copilot doesn’t access files it shouldn’t. If you’ve already set up sensitivity labels in your organization using Microsoft Purview, you’re likely familiar with how they help manage access and sharing. But did you know you can also control how Copilot interacts with this information? With sensitivity labels, you classify and protect data based on its sensitivity. You can configure

With the rise of all the AI tools online, from Copilot to ChatGPT, it's becoming harder to track where sensitive data ends up. While blocking access might sound like the safest route, most organizations know that’s not workable for the end user, especially in a production environment. That's why DSPM for AI gives you insights into how your data is currently used in your organization. I've introduced DSPM for AI in Purview before in another blog. If you haven't read it yet or

In my previous blog , I guided you through the initial steps of setting up Compliance Manager and using the NIS2 in Compliance Manager. We covered key points as setting up the NIS2 regulation in an assessment in Microsoft Compliance Manager and also discussed how to take action based on the assessment outcomes. In this follow-up blog, we will focus on the technical side of NIS2 implementation, and also with the use of Priva Privacy Risk Management. Additionally, I will show y

These days, you can’t escape AI. While AI offers many opportunities for businesses, it also raises plenty of questions. For instance, how can you manage the usage of ChatGPT, Copilot or Gemini by employees? And how do you ensure that company data isn’t being unintentionally shared with certain AI models, especially with the rapid growth of available AI language models? Data Security Posture Management can help you with this, and not only for Copilot. As an organization, your