Data Protection & Privacy
You know where personal and confidential data sits, and it carries labels that tools and AI respect.
The problem
Personal and confidential data spreads across mailboxes, SharePoint sites, Teams chats, file shares and cloud storage. Without knowing where it is, you cannot answer access requests completely, apply retention or show that security measures fit the risk.
AI makes the gap visible. Microsoft 365 Copilot and other assistants can surface anything a user has access to, so overshared files and unlabelled data turn into answers in a chat. Labels and data loss prevention only help once the data has been found and classified.
What we do
We agree a small set of sensitivity levels with your business, privacy and security owners, and what each level means for access, sharing, encryption and retention.
We scan your Microsoft 365 and cloud storage for personal, health, financial and confidential data using built-in and custom sensitive information types and classifiers.
We configure sensitivity labels, default and automatic labelling, and the protection each label applies, then roll them out with your users.
We set data loss prevention policies for email, SharePoint, OneDrive, Teams and endpoints, start in audit mode and tighten them with the business.
We find sites and files shared too widely, clean up permissions and check which sensitive data Copilot and other AI tools can reach.
We monitor label and DLP activity, tune false positives, apply retention and report on where sensitive data sits.
How we deliver
We define your classification scheme and assess where sensitive data sits and who can reach it.
Learn moreWe implement data discovery, sensitivity labels, DLP and retention, for example in Microsoft Purview, and fix oversharing.
Learn moreWe run classification and DLP for you: alert triage, policy tuning, label coverage reports and retention.
Learn moreFrameworks
Platform
From December 2026, the Fidempli platform uses your labels at the point of use: prompts with personal or confidential data are blocked, redacted or allowed by policy before they reach an AI model.
Explore the platform
Purview is the natural choice for Microsoft 365 and is included in some licences. If you use other platforms, we work with their classification and DLP tools, or a mix.
Not if the scheme is short and defaults do most of the work. We keep to a few levels, set sensible defaults and use automatic labelling where it is reliable.
Copilot answers from data the user can already access. Overshared or unlabelled sensitive files become visible through it. Discovery, labels and permission clean-up close that gap before you switch it on.
Knowing where personal data sits supports records of processing, complete answers to access requests, deletion and retention, and security measures that fit the risk.
Yes. We often start with one high-risk area, such as HR or finance, prove the scheme and then roll it out.
A senior consultant replies within one business day. Or join the 3–5 design partners shaping the platform before launch.
