Realize maximum E5 & Azure value from a total data protection implementation using Purview to protect Microsoft 365, third-party clouds, on-premises content, and more.
Every enterprise has a gap between a written data classification policy and technical data protections. A written policy provides helpful legal boundaries but does little itself to safeguard data outside a user-trust model, which is often ineffective. Realize maximum E5 & Azure value from a total data protection implementation using Microsoft Purview to protect Microsoft 365, third-party clouds, on-premises content, and more locations for data at rest, in motion, and in use.
Cyclotron provides a complete deployment approach to identifying, classifying, protecting, and monitoring sensitive data in a corporate environment, resulting in real-time views into where your highest-value data lives and flows within and outside your environment. Cyclotron's approach starts at protecting sensitive information at the data-level; any remaining gaps are then plugged at the app-level, device-level, and identity-level. Cyclotrons data protection approach is agnostic to the on-premises environment, making enablement possible for both on-premises and cloud-first organizations.
Microsoft Purview in Microsoft 365 enables clients to: Shift from written data classification policy to technical policy implementation Enable end-users to decide how to protect their data Warn end-users about risky actions with sensitive data Enable administrators to automatically protect data when end-users can't be trusted Prevent risky activities from disgruntled or malicious users Govern communication channels with HR's appropriate use policies Investigate & respond to legal cases with eDiscovery
Microsoft Purview in Azure enables clients to: Establish mapping and lineage for data relationships in infrastructure across Azure, AWS, GCP, on-premises SQL (Data Map) Discover and classify assets with sensitive data within data at rest and workflows (Data Map) Publish a searchable catalog for employees to discover data assets, attributes, and relationships (Data Catalog) Provide executive insights to sensitive data storage & movement (Data Estate Insights) Share data fields in assets securely with external parties (Data Sharing) Enable access to data fields and metadata relationships to internal parties (Data Policy) End-users can apply file-level classifications to their data and protect it sending internally or externally so only the appropriate audience can open, read, edit, and share that data. They'll also see warnings when sharing in violation of company policy.
Administrators receive operational and management-level reporting to demonstrating how classified, unclassified, and protected data flows across and outside the corporate environment. They can automatically enforce content protections & sharing warnings, as well as investigate legal cases & escalate insider risk cases to the appropriate HR group.