Most organisations have Purview. Very few have it working properly.
I help clients design, assess, and improve Purview across the areas that actually matter: data discovery, information protection, DLP, insider risk, and AI-era data exposure.
Know where sensitive data is, reduce how it leaks, and prove your controls are working.
Labels exist but are inconsistent. DLP is enabled but noisy. Endpoint controls are weak. Insider Risk is licensed but not operational. AI adoption is moving faster than governance.
The problem is rarely the tooling itself. It is the absence of a joined-up data risk model.
Purview only works when you treat it as a control system, not a pile of features. I structure it across three core control areas.
Build the foundation for effective data protection by identifying sensitive data, rationalising labels, and improving visibility across Microsoft 365 and endpoints.
Design DLP that reduces real-world leakage without crippling the business with noise, friction, or brittle controls.
Move beyond basic alerting and build a working behavioural-risk capability with clearer use cases, better signal quality, and defensible workflows.
Assess oversharing, prompt-driven exposure, and AI-era data access risks across Copilot, agents, and sanctioned or unsanctioned AI tooling.
Bring discipline to consumption-based Purview services with practical cost guardrails, scoping, and Azure alignment.
Some clients need a focused posture review. Others need deeper design work, remediation planning, or an ongoing control model.
I do not treat Purview as a feature set. I treat it as a data risk control system.
Risk-led, not feature-led
Clear outcomes over vendor fluff
Controls the business can live with
Architecture, governance, and operations joined up
Whether you need a posture review, DLP redesign, insider risk uplift, or AI data risk assessment, I can help turn Purview into a working control capability.