CONTENT

Articles and guidance for Microsoft AI security.

Start with the main security questions around Copilot, agents, data security, and governance. Then move into the articles that break them down properly.

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How do we secure Agents

Build agents correctly before risk gets normalised.

This topic is about getting the basics right early: identity, managed access, control boundaries, and the choices that decide whether an agent is safe enough to scale.

How to secure AI agents in Microsoft environments Start here if you want a clearer view of permissions, delegated action, and control boundaries. What to lock down before a Copilot Studio build goes live Best for understanding what needs to be in place before an agent moves beyond a build phase. How the Secure Agent Simulator should shape secure agent governance Read this if you want a clearer model for review, ownership, and rollout discipline.

How do we build scalable data security projects

Make data security repeatable, not just reactive.

This topic focuses on the work that makes large programmes hold together at scale: Purview, DLP, label structure, governance boundaries, and the decisions that stop data protection work turning into a slide deck with no follow through.

Where Purview and Entra fit into a secure AI programme Start here if you want to see classification, control design, identity, and protection working together. Questions CISOs should ask before enabling Copilot at scale Useful when rollout, governance, and day to day security decisions need to line up before large scale deployment.

Open Forum

Ask questions and I'll respond where it helps.

If you are working through a real security question and want a straight answer, ask it here. Ask in public if others can benefit too, and I'll respond where I can.

Ask on LinkedIn Best for short questions, follow ups, and open discussion other people can learn from as well. Ask through YouTube Use the channel if a question is easier to ask alongside a video breakdown or a practical example. Follow the podcast conversations Use this if you want the longer-form context behind the questions teams keep running into.