AI Security and Governance
Controls that hold once real people start using it.
An AI control is only worth what it is worth on a Tuesday afternoon when someone is busy. We build governance into the environment itself, using the Microsoft controls you already own, so the safe path is also the easy one.
What it is
Design and implementation of the security and governance layer around AI use: who may use which capability, what data it may reach, how sensitive material is labeled and protected, which actions require a human approval, and how any of it can be reviewed afterwards.
What this is not
We do not position governance as a substitute for security engineering. Labeling does not fix permissions, and an approval step does not fix an identity gap. Where the underlying control is missing we say so and fix that first.
Who it is for
- Security teams accountable for an AI rollout they did not design
- Organizations with regulatory or contractual data handling obligations
- Teams deploying agents that can act, not only answer
- Organizations that need the control set evidenced for an auditor
What we do
- Entra identity, Conditional Access, and least privilege design for AI access
- Microsoft Purview information protection, labeling, and data loss prevention
- Data boundary design so a tool can only reach what it should
- Agent governance: registration, ownership, permitted actions, and approval seams
- Microsoft Defender coverage for the surfaces AI use introduces
- Monitoring and review, with the questions an auditor will ask answered in advance
- Written policy that matches what the environment actually enforces
What you get
- Control design mapped to your obligations
- Implemented configuration in your tenant
- Agent and capability inventory with named owners
- Approval and escalation model
- Monitoring and review procedure
Related resource
Microsoft 365 AI Security and Governance Checklist
The identity, data and governance controls to verify in your tenant before Copilot and agents are switched on.
Preview the M365 AI Security and Governance Checklist