ProArch

There is a strong reason Microsoft Purview should come *before* a Copilot rollout. The success of Microsoft 365 Copilot, and the risks it introduces, depend heavily on the data it can access. Without the right controls in place before rollout, small issues can quickly become long cleanup efforts: ✅overshared sites and files ✅permission sprawl ✅orphaned accounts from former employees That's why the sequence matters. By putting Microsoft Purview controls in place first, organizations can reduce risk from day one and roll out Microsoft 365 Copilot with greater confidence. Want to get the sequence right? Watch our on-demand webinar to see why Purview should come before Copilot: https://hubs.la/Q04hcNNC0

Before you build an AI agent, step back and rethink the process itself. 🔹 Where does your data actually live? 🔹 What steps are unnecessary? 🔹 Can the workflow be simplified before introducing AI? The most impactful AI solutions don’t just automate… They transform how work gets done. And sometimes, even before AI is implemented, the process becomes more efficient simply by reworking it.

Every morning, employees at a nonprofit started their day fully dependent on an MSP's private datacenter just for basic things like accessing email, files, and critical apps. That created real problems: ➡️ Limited IT visibility ➡️ Slow response times ➡️ Heavy operational dependency ➡️ Little room to scale ProArch partnered with them for a phased, cloud-first transformation using Microsoft Intune, Microsoft Entra ID, and Microsoft 365 without disrupting daily operations. Today, their IT environment is: ✅ Fully cloud-managed ✅ Easier to support ✅ Built to scale ✅ Secure by default And that’s exactly what modern IT should do — enable organizations to scale with confidence. Read the full story → https://hubs.la/Q04gyMtC0

Most organizations are already paying for Microsoft Purview through Microsoft 365. But what often gets missed is understanding how much of Purview is already included in E3, and what additional protection E5 unlocks. That difference matters even more as AI and Copilot usage grows. Most teams are: → Rolling out Copilot → Managing oversharing risks → Trying to govern data across Microsoft 365 Before jumping to new tools, first ask: → Where do we need stronger protection for sensitive data? → What Purview capabilities are we already paying for but not fully using? We broke it down clearly. Read the blog → https://hubs.la/Q04gGtmX0

Our favorite wins are the ones we share with our clients. Grateful for the trust, collaboration, and outcomes we get to build together🎉

The teams that actually win with AI don’t go “all in” on day one. And they don’t keep it siloed in IT. ✅Get business leaders in early ✅Start with small, high-impact pilots ✅Prove value, then scale That’s how AI efforts turn into long-term results.

Reassigning a laptop might seem routine, but endpoints can retain more risk than you think. A typical reassignment processes focus on the basics: - Deleting user profiles - Resetting passwords - Removing apps - Preparing the device for the next person But threats can persist in places like scheduled tasks, registry run keys, startup folders, and browser data stores. With Microsoft Intune and Attack Surface Reduction rules, you can strengthen reassignment and reduce risk across managed devices. See what a secure device reassignment process should include → https://hubs.la/Q04gxfl10

Starts in 1 hour! If you're rolling out or scaling Microsoft 365 Copilot but want to make sure your data is in order first then join our webinar today at 2PM EDT. Join us to learn: → What happens when Copilot runs without proper guardrails → The Purview capabilities that help you use Copilot safely → Which Purview capabilities are already included in your Microsoft licensing → A Purview checklist you can use to get started 📅 Wednesday, May 13 at 2PM EDT 👉 Register: https://hubs.la/Q04gppKY0

Your AI agents need more than access. They need accountability. As ProArch CTO & CISO Ben Wilcox shared on The CTO Show With Mehmet Gonullu, AI governance starts with treating agents like coworkers: ✅ Give them identities ✅ Track their actions ✅ Give security teams visibility But there’s another challenge: LLMs have short lifespans. When models change or retire, organizations can’t assume “newer” means better. You need to be sure the model still supports the business outcome your AI app was built for. 🎧Listen to the full episode: https://hubs.la/Q04gcQYT0