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Cyera vs Microsoft Purview

Check differences in scope, deployment and cost. Use the evaluation questions to resolve what the sources leave open.

Read each action with its limits. General capability and environment marks do not establish a specific workflow. Unconfirmed means support was not established in our research.

Capabilities, coverage, deployment, pricing and evaluation questions for Cyera and Microsoft Purview
CompareCyeraUpdated Microsoft PurviewUpdated
ApproachCyera DSPM combines content classification with identity, access and exposure context, including access revocation and remediation workflows. This profile covers DSPM. Cyera prices DLP as a separate plan. [1] [8]Purview combines Microsoft 365 DLP with endpoint, browser and data-governance capabilities. Coverage, prerequisites and billing differ by workload. A Data Map connector is not evidence of DLP enforcement. [1] [2] [3]
Restrict file sharing in Microsoft 365

Cyera documents revoking public and organization-wide access in SharePoint and OneDrive, including files accessed through Teams. [9]

The documented actions change access and record an audit trail. Test inherited permissions and rollback separately from any requirement to block content in transit. [9]

DLP policies can restrict access to sensitive SharePoint and OneDrive files for external users or for everyone. [5]

Blocking behavior depends on the rule. Microsoft documents a short guest-access window for the combination of externally shared content and Block everyone. Test the exact condition and action. [5]

Find sensitive data in S3

Cyera documents detecting exposed sensitive files in S3 and removing public access. [10]

The release describes exposure remediation. Require the supported file types, scan exclusions and sampling settings for the discovery evaluation. [10]

Data Map documents automatic classification for Amazon S3. [2]

The S3 connector does not apply sensitivity labels to Data Map assets or data policies. Classification alone does not establish transfer prevention. [2]

Find sensitive data in BigQuery

This workflow has not been established in our research.

The Data Map BigQuery connector provides metadata and lineage. [2]

The connector does not support automatic classification, sensitivity labels or data policies in the published capability matrix. [2]

Classify Snowflake data

Cyera documents column-level discovery of sensitive Snowflake data and identification of overexposed columns. [11]

Require the scan scope, sampling settings and connector permissions for the proposed deployment. The release establishes column discovery but does not provide a complete connector setup or exclusion matrix. [11]

Purview Data Map documents automatic classification of Snowflake tables and views using a scan rule set. [2] [6]

Classification skips tables or views when their object, schema or database names contain special characters. Self-hosted scanning requires a supported integration runtime and JDK 11. Confirm warehouse access and key-pair authentication for the scan. [6]

Mask sensitive columns in Snowflake

Cyera documents an Apply Snowflake Tag action that links a sensitive column to a native Snowflake dynamic masking policy. [11]

Snowflake tag-based masking requires Enterprise Edition or higher and a policy matching the column data type. Confirm the Cyera entitlement, write permissions and existing tag-policy setup. Test results with authorized and unauthorized query roles. [11] [12]

The Data Map Snowflake connector does not apply data policies in Microsoft's capability matrix. [2]

This limit concerns the Data Map connector. Its classification results do not establish Snowflake masking or other Purview workloads. Require a separate enforcement component if the evaluation needs query-time masking. [2]

Classify on-prem file shares

Cyera documents discovery and classification of on-prem file shares. [7]

Both connector-based and connectorless options are offered in SaaS or Outpost deployments. Require the deployment mode and data flow for each file store in the proposal. [7]

The Information Protection scanner can discover, classify and protect files on local and network shares. [4]

Discovery needs read permission. Applying classification and protection needs read, write and modify permissions. The scanner requires Windows Server, SQL Server and an information protection license for the service account. [4]

Discovery & classificationDocumented [1]Documented [1]
Access governanceDocumented [1]Unconfirmed
Data loss preventionUnconfirmedDocumented [1]
Detection & responseUnconfirmedUnconfirmed
Encryption & tokenizationUnconfirmedUnconfirmed
Microsoft 365● Full

Releases document Exchange discovery and classification alongside native public and organization-wide sharing remediation for SharePoint, OneDrive and Teams. [4] [5]

◐ Partial

DLP supports Exchange, SharePoint, OneDrive and Teams. Confirm licensing and access-governance requirements separately. [1]

AWS◐ Partial

The S3 release documents sensitive-file exposure detection and public-access removal. Confirm the scan and control matrix for other AWS stores. [5] [10]

◐ Partial

Data Map supports classification in Amazon RDS. Redshift metadata support does not include automatic classification in the reviewed matrix. [2]

Google Cloud? Unconfirmed◐ Partial

Data Map lists BigQuery metadata and lineage but not automatic classification. Do not equate cataloging with content inspection. [2]

Snowflake / Databricks● Full

Snowflake scanning is documented separately from the findings-export integration. Databricks Unity Catalog scanning is listed in the integration catalog. [2] [3]

◐ Partial

Data Map classifies Snowflake and Azure Databricks Unity Catalog data with connector-specific limits. These connectors do not apply data policies. [2]

On-prem shares● Full

Identity analysis maps Active Directory access to sensitive files on SMB shares, NetApp and Dell PowerScale. Confirm the connector and remediation scope. [5]

◐ Partial

DLP for on-prem file shares uses the Information Protection scanner. Deployment and supported file types need checking. [1]

SaaS apps◐ Partial

Releases document discovery and classification for Salesforce files and ServiceNow ITSM records. The Slack integration sends alerts and is not evidence of Slack content scanning. [5]

◐ Partial

Connected non-Microsoft apps include Box, Dropbox, Google Workspace and Salesforce in preview. Browser and network controls have separate prerequisites. [1]

Deployment and data handling

Cyera offers SaaS and Outpost deployment models. Its implementation FAQ places Outpost scanning inside the customer account. [6] [7]

Processing boundary
The FAQ describes metadata flowing to the Data Insights SaaS service in both models. Confirm the metadata fields, samples and regions in the proposed architecture.
On-prem connection
The on-prem product page offers both connector-based and connectorless deployments in SaaS or Outpost environments. Confirm the mode for each required store.
Scan completeness
The FAQ describes clustering similar objects to classify data without scanning every object. Test which sensitive examples are missed and how exclusions are reported.

Purview deployment requirements differ by workload. The Information Protection scanner for on-prem files runs on customer-managed infrastructure. [4] [6]

On-prem infrastructure
The scanner requires Windows Server, a SQL Server configuration database and the Information Protection client.
Scanner identity
The documented setup uses an Active Directory service account synchronized to Microsoft Entra ID. Microsoft provides alternative configurations when this is prohibited.
Read versus change
Discovery-only scans need read access. Applying classification and protection to file shares requires read, write and modify permissions.
Snowflake scanning
The Snowflake Data Map connector needs warehouse USAGE and access to the scanned databases. Microsoft documents key-pair authentication with a self-hosted integration runtime. Confirm the current authentication requirements before provisioning the scan.
Pricing

Cyera requests a custom quote and describes separate DSPM and DLP plans. [8]

Optional products
Data Subject Request Automation and DataWatcher are described as optional add-ons.
Quote requirements
The reviewed pricing page does not state rates or a billing unit. Require the included stores, usage assumptions, add-ons and renewal terms in the quote.

Purview uses complementary per-user and pay-as-you-go billing models. [3]

Per user
Microsoft 365 and Windows/macOS endpoint capabilities depend on the licensed plan.
Consumption
Non-Microsoft 365 sources and certain other capabilities use Azure-linked consumption billing.
Test in the evaluation
  1. Draw the SaaS or Outpost data flow for each required store, including metadata, samples, regions and any local connector.
  2. Test seeded sensitive examples, unusual file types and low-frequency data. Show how clustering, scan exclusions and missed objects appear in the results.
  3. Demonstrate access revocation with approval, audit history and rollback. Identify the licensed plan and permissions required for each action.
  1. For each required control, identify the workload, licensed plan and enforcement component. Demonstrate the action on that workload.
  2. For on-prem scanning, show the service account permissions in discovery mode and protection mode. Identify the Windows and SQL infrastructure the team must operate.
  3. Separate existing entitlements, additional licenses and consumption charges in the quote. Repeat the estimate for a larger data estate and more frequent scans.

Full refers to the documented scope above. It does not establish every control in every store. How coverage is assessed. Turn a coverage claim into an evaluation test.

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