
Secure the data Microsoft Copilot can reach and share.
Roll out AI faster.
Know your Copilot risk before you scale AI. Identify sensitive data, govern access for users and Copilot Studio agents, and protect it in motion, including non-labelable files.
Unified controls for Microsoft Copilot and Copilot Studio
Discover and classify your Microsoft 365 data in minutes. Make Copilot safe to scale with accurate labels, clear access visibility, and continuous protection with policy guidance built in.
See what Copilot can reach
Discover and classify every file across SharePoint, OneDrive, and Teams. Map which sensitive data is accessible through the permissions Copilot will inherit.
Close the gaps before you flip the switch
Apply MIP labels at scale, remediate over-permissioned access, and enforce DLP policies even for files that cannot be labeled.
Stay protected after go-live
Monitor every Copilot interaction with sensitive data in real time, not just at deployment. Detect anomalous access, govern prompt behavior, and enforce unified policies everywhere.
Surface Copilot data risk and act on it with confidence
Move from pilot to enterprise scale by turning Copilot data risk into peace of mind. See your verified Copilot risk score, fix what is unsafe, and scale with confidence.

Classify everything. Label what matters. In days, not months
Discover sensitive data across your entire M365 environment and classify it with 95%+ precision, without manual rules, including proprietary and hard to detect content. Apply accurate Microsoft Information Protection (MIP) labels at scale in days, not months, closing the gap that blocks safe Copilot enablement.

Reduce your exposure before Copilot multiplies it
Map every identity to sensitive data and track every Copilot interaction with full lineage across users, systems, and AI. Surface over-permissioned users, stale accounts, and broad sharing links. Revoke public and org-wide access, quarantine files, or route issues to data owners.

Control what employees share with Copilot, even if it can't be labeled
Detect and block sensitive prompts in real-time. Expand DLP coverage to unlabeled and non-labelable files like images. Strengthen Microsoft Purview with prioritized DLP alerts and policy recommendations driven by Copilot activity, including behavioral anomalies and risky data flows.
FAQs
Cyera replaces manual reviews and guesswork with measurable readiness. Teams can identify which datasets are safe for Copilot and Copilot Studio agents, fix oversharing and labeling gaps at scale, and enforce consistent controls. This helps Copilot adoption and agent development move faster without increasing risk.
Labels are essential, but they are not universal and not always accurate. Sensitive data often exists in unlabeled or under-labeled files, and many high risk file types cannot be labeled at all, even though Copilot can still read them. Labeling programs also create operational burden and user friction when teams rely on manual tagging and complex rule tuning. Cyera improves label coverage and accuracy where labels apply and protects sensitive data in motion, including non labelable file types, so you can scale Copilot faster with less effort.
Cyera does not replace Microsoft enforcement. It augments Purview by supplying accurate, continuously validated classification, applying and correcting MIP sensitivity labels at scale, and closing protection gaps with data and context aware controls. This helps Purview and Copilot policies operate on sensitivity you can trust.
Cyera maps Copilot Studio agents to the sensitive data they can access through Microsoft 365 permissions. Security and compliance teams can identify agents with high risk data reach, validate least privilege access, and maintain visibility as agents, connectors, and permissions change.
Cyera supports remediation workflows such as applying and correcting MIP sensitivity labels, identifying and reducing oversharing (including org-wide access), and right-sizing permissions for users and Copilot Studio agents. It also protects sensitive data in motion, analyzing Copilot related usage and alerts to prioritize incidents and recommend policies, including for non labelable file types.



