The data in your Microsoft 365 environment is the fuel for your Copilot journey. While Copilot has immense potential to unlock insights and workflows at unprecedented speed and scale, if your M365 data has loose permissions, it can lead to negative consequences. Common issues we find include:
- Mislabeled sensitive files that contain PII
- Compensation records sitting in the wrong folders
- Entire data categories that don’t have policies written for them
For years, these issues were accepted governance gaps deprioritized in favor of more pressing work. Copilot changes the calculus, because it relies on the labels and permissions already in place. It decides what to surface, what to restrict, and what to summarize based on the state of your M365 data today. The challenge is that 40% of data goes mislabeled, which means the actions tied to them are unreliable.
As organizations accelerate Copilot adoption, understanding where sensitive data and potential exposure exist across Microsoft 365 becomes critical.. Cyera automatically reads the contents of every file in OneDrive, SharePoint, and Exchange, and then applies the correct Microsoft Information Protection (MIP) label based on what's actually inside. The AI-powered classification engine uses the context of the data to do this in a fraction of the time manual labeling takes, while reducing inconsistencies and oversight gaps.
Once the right labels are in place, you can scale your Copilot deployment with confidence knowing it’s accessing data the right way, with accurate instructions and downstream controls in place. Let’s look at three capabilities that make that possible.
Uncover your label gaps
Most security teams can't simply block AI adoption, so they know labeling is an accepted risk while their Copilot rollout is underway. Cyera produces a verified, file-by-file picture of your current label state across the M365 estate within days, with no agents and no production impact. We deliver this as a free Copilot Risk Report.
Scan every M365 surface in days
Cyera connects directly to OneDrive, SharePoint, and Exchange and reads the existing label state on every file. The output is not a sample or an estimate. It's a complete inventory of what's labeled correctly, what's mislabeled, and what hasn’t been classified at all.
Quantify Copilot’s reach
On average, an employee has access to over 23,000 sensitive files. That's the level of access Copilot inherits the moment it's enabled, and why risk amplifies. Cyera measures your Copilot risk against a multi-step methodology that culminates in a single Copilot risk score, enabling you to benchmark your environment and which remediation steps to prioiritze.
Classify with AI-powered precision
Cyera's classification reads what's in each file and assigns sensitivity based on the business context inside the document. That delivers stronger precision and recall than relying on file names, authors, or outdated policy rules. At enterprise scale AI adoption and the data growth that is a byproduct of it, AI-powered classification is a practical way to keep pace.
Cover every M365 data surface
Cyera classifies structured and unstructured data, including file formats Microsoft Purview cannot natively label. The same engine recognizes PII in a Word draft, an Excel pivot table, or a PDF attachment in Exchange. Every match gets tagged against the same sensitivity model your DLP and retention policies already use.
Trust the output
A classifier you can't trust is adding more triage work for an already-stretched team. Cyera's classification engine delivers out of the box classifiers with zero manual rules. The output is something the security team can trust to run automated remediation against.
Apply MIP labels automatically
When Cyera marks the sensitivity of each file, it pushes the right MIP labels back into M365 through the Microsoft Graph API. No new agents, no Purview re-architecture, no manual prompts. Accurate labels activate every downstream control: DLP rules, encryption, retention, and Copilot location restrictions all start firing against the right files.
Remediate through sensitivity labels
Cyera lets you define labeling policies using any combination of data attributes it has already classified. Your own criteria, not just pre-scored sensitivity tiers. Because the platform understands semantic context inside each file, a single condition like "CCN + Identifiable" can cover what would otherwise take a long chain of explicit attribute rules in a native labeling tool. That simplicity translates to faster deployment and less testing overhead before policies go live.
Cyera creates an Issue for every in-scope file and either applies the MIP labels automatically or queues them for admin bulk-approval, depending on how much human review your team wants to implement. The labeling event is logged, the datastore rescans, and issues close once the labels are confirmed. Mislabeled and unlabeled files move through the same workflow. No separate remediation track required.
Cut the timeline by 90%
A traditional MIP labeling project takes 6 to 12 months once you account for policy authoring, end-user training, manual review, and change management. Because Cyera classifies and applies labels itself, the same outcome lands in 3 to 6 weeks. The platform keeps running against new and changed files after that, so the label state stays current as your environment evolves. Cyera works alongside Microsoft to help organizations accelerate adoption of Microsoft Purview by complementing it with deeper data visibility, faster classification, and AI-ready governance across modern data environments.
Get your Copilot Risk Report
The fastest way to see your real Copilot exposure is to run it against your own environment and dataset. Cyera's free Copilot Risk Report scans your M365 estate, scores your label accuracy, and shows exactly where mislabeled or unlabeled files would put Copilot at risk. Results in days. No agents. No production impact.
Get your AI Security Assessment
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