Know your data before you scale AI on top of it.
Organisations increasingly need to understand and protect their data before safely adopting AI. This is where security and AI strategy meet.
Data Protection & Classification
Microsoft Purview-focused information protection: data discovery, information classification strategy, sensitivity labels, auto-labelling, Data Loss Prevention, retention strategy, insider-risk considerations, Microsoft 365 information protection and AI/data governance readiness.
4–12 weeksPricing
Confirmed during consultation
An internal AI-assisted assessment capability, used to support our consultants.
Zeem is developing an internal AI-assisted security assessment platform. It collects authorised information from client environments (such as Microsoft Graph, Entra ID, Microsoft 365, Azure Resource Graph, Defender and Secure Score), normalises it, and analyses it against frameworks like Essential Eight and NIST CSF to help our consultants work faster and more consistently.
This platform is currently an internal tool that supports Zeem's delivery, not a customer-facing product. Every AI-assisted finding is reviewed and validated by a consultant before it is presented to you.
How data flows through our process
Customer Environment → Controlled Data Collection → Normalisation → Secure Storage → Analysis Engine → Rules/Controls → AI Analysis → Human Validation → Report
- Explicit customer authorisation before any data collection.
- Structured configuration data preferred over unnecessary raw content.
- No unnecessary data retention, with audit logging throughout.
- Ability to operate with different LLM providers where appropriate.
Preparing your organisation for the safe adoption of AI.
Data readiness
Understand what data you hold and how it's classified before connecting it to AI tools.
Governance guardrails
Policy and control guidance for the responsible use of AI tools like Microsoft Copilot.
Risk-based rollout
A prioritised, risk-aware approach to expanding AI use across the organisation.