Secure Copilot Readiness: A Practical Guide for MSPs

Prepare your organization for AI-powered productivity without sacrificing security
As generative AI reshapes enterprise IT, Microsoft 365 Copilot is leading the charge by embedding large language models directly into collaboration and communication platforms where sensitive data resides. For small businesses and MSPs, this is a pivotal shift. Unlike past digital transformations, Copilot doesn’t just change how people interact with systems; it changes how systems interpret, synthesize, and redistribute sensitive information.

This comprehensive guide helps MSPs navigate the new risk landscape introduced by AI, offering a practical framework to enable Copilot securely and confidently.

Why This Guide Matters
Copilot’s ability to generate summaries, reports, and content from vast data repositories introduces new efficiency but also increases the risk of data exposure, compliance violations, and insider threats. Traditional security models weren’t built for AI. With Netwrix 1Secure for MSPs, you can uncover overexposed data before Copilot surfaces it, help to enforce least-privilege access, and monitor AI activity in near real-time to reduce the risk of oversharing. This guide helps you adapt your governance to today’s reality.

What’s Inside the eBook

• Real-World Risk Scenarios: Learn how Copilot can unintentionally surface sensitive HR, finance, or compensation data due to misaligned permissions or classification gaps.
• AI vs. Traditional Governance: Understand how Copilot behaves differently from human users and why your existing security controls may not be enough.
• The Four Pillars of Secure Copilot Deployment: Discover the critical areas to address: access, classification, monitoring, and response.
• 30-Day Rollout Plan: Follow a phased approach to assess, enforce, monitor, and respond to Copilot activity, without slowing down adoption.
• Netwrix 1Secure for MSPs Integration: See how Netwrix 1Secure for MSPs complements Microsoft Copilot by enabling AI-aware governance, automating data classification, and enforcing least-privilege access.

Key Takeaways

• Copilot operates at the intersection of permissions, classification, and user behavior, making misalignment a liability.
• AI-generated content can bypass traditional DLP and access policies if not properly labeled.
• Prompt injection and semantic leakage are emerging threats that demand new security controls.
• Manual intervention is too slow for AI-driven exposure, so automated response workflows are essential.

Download the Free eBook: Secure Copilot Readiness: A Practical Guide for MSPs.
Equip your team with the insights and tools needed to deploy Microsoft Copilot securely and effectively.