Using Copilot and AI to Strengthen Security: A Practical Guide for MSPs

30 April, 2026

AI is rapidly shifting from a “nice to have” to a core part of how organisations operate, and security is no exception. In a session with Robert Crane, we explored how AI tools like Microsoft Copilot can help MSPs enhance their security offering, improve efficiency, and better protect customer data.

Here’s a practical breakdown of where to start and how to scale.

Start Simple: AI Without the Complexity

One of the biggest misconceptions about AI is that you need advanced tools or licenses to get started. In reality, even the most basic version of Microsoft Copilot can deliver value immediately.

With standard Copilot chat, MSPs can:

  • Generate scripts (e.g. PowerShell for securing environments)
  • Research best practices
  • Troubleshoot issues faster

The key? Prompting.

The quality of your output depends heavily on how you ask the question. For example, instead of a generic request, framing the AI as a “Microsoft 365 security expert” will produce far more useful results.

Even at this level, AI becomes a powerful starting point, helping teams avoid building everything from scratch.

Instead of just pulling from the web, Copilot can:

  • Access internal documentation
  • Reference existing scripts and SOPs
  • Combine organisational knowledge with external data

This means your AI isn’t just smart, it’s context-aware.

For MSPs, this unlocks faster troubleshooting, better documentation reuse, and more consistent delivery across teams.

AI for Security Analysis: Finding the Needle in the Haystack

One of the most powerful use cases is analysing security data.

Using tools like the Copilot Analyst agent, MSPs can:

  • Upload sign-in logs or audit logs
  • Analyse large datasets for suspicious activity
  • Identify potential breaches quickly

Instead of manually combing through thousands of log entries, AI can triage and highlight what actually matters.

This is particularly valuable when dealing with:

  • Microsoft Entra ID logs
  • Firewall exports
  • Audit logs from Microsoft Purview

The result? Faster response times and significantly reduced manual effort.

Beyond chat and analysis, MSPs can create custom AI agents tailored to specific use cases.

Some examples:

  • A security agent aligned to ASD or internal standards
  • A compliance agent focused on policy enforcement
  • A support agent that answers common technical queries

These agents can be built using tools like Microsoft Copilot Studio, allowing teams to:

  • Define instructions
  • Control data sources
  • Automate responses and workflows

Rather than relying on one generic AI, you can build multiple specialised agents, each focused on a specific function.

Automating Security Operations

AI becomes even more powerful when paired with automation.

A practical example:

  • Route all security alerts into a shared mailbox
  • Use AI to analyse incoming alerts
  • Automatically flag high-risk issues or trigger actions

This approach allows MSPs to:

  • Reduce noise from false positives
  • Focus on real threats
  • Scale security operations without increasing headcount

Given that most alerts are low-risk, AI is ideal for filtering and prioritisation.

Advanced Option: On-Demand Security AI

For deeper investigations, tools like Microsoft Security Copilot provide advanced capabilities.

Key benefits:

  • Direct access to security data (no manual exports)
  • Ability to generate queries and insights automatically
  • Designed specifically for cybersecurity scenarios

Unlike standard Copilot, this operates on a pay-as-you-go model, making it ideal for:

  • Incident response
  • Deep investigations
  • Short-term use when needed

Compared to engaging external consultants, this can be a far more cost-effective option.

Don’t Forget the Foundation: Data Matters

AI is only as effective as the data behind it.

Before implementing any AI-driven security approach, organisations should ensure:

  • Audit logging is enabled
  • Data sources are complete and accessible
  • Teams understand how to extract and use that data

Without this foundation, even the most advanced AI tools will fall short.

Final Thoughts

AI isn’t a single tool, it’s a spectrum of capabilities.

For MSPs, the opportunity is clear:

  1. Start with simple prompting
  2. Layer in internal data with Copilot
  3. Use AI for log analysis and security triage
  4. Build custom agents for repeatable workflows
  5. Scale into automation and advanced tools when needed

The goal isn’t to replace expertise, it’s to augment it.

Done right, AI can help MSPs deliver stronger security outcomes, faster response times, and a more scalable service offering, without dramatically increasing cost or complexity.

Interested in learning more? Contact the Synnex CSP Team 📩 csp@synnex.com.au or visit Synnex CSP