Concentric AI 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.
| Compare | Concentric AIUpdated | Microsoft PurviewUpdated |
|---|---|---|
| Approach | Concentric AI uses content context to classify data and identify excessive access. Its Microsoft 365 workflow connects discovery with permission and sharing remediation. [2] | 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 | This workflow has not been established in our research. | 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 | This workflow has not been established in our research. | 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 | This workflow has not been established in our research. | 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 | This workflow has not been established in our research. | 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 | This workflow has not been established in our research. | 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 & classification | Documented [2] | Documented [1] |
| Access governance | Documented [2] | Unconfirmed |
| Data loss prevention | Unconfirmed | Documented [1] |
| Detection & response | Unconfirmed | Unconfirmed |
| Encryption & tokenization | Unconfirmed | Unconfirmed |
| Microsoft 365 | ● Full SharePoint and OneDrive discovery, access analysis and sharing-risk remediation are documented. [2] | ◐ Partial DLP supports Exchange, SharePoint, OneDrive and Teams. Confirm licensing and access-governance requirements separately. [1] |
| AWS | ● Full The data-source catalog lists S3, RDS, Aurora, Redshift and FSx. Verify scan and remediation depth per connector. [1] | ◐ Partial Data Map supports classification in Amazon RDS. Redshift metadata support does not include automatic classification in the reviewed matrix. [2] |
| Google Cloud | ◐ Partial BigQuery, Cloud SQL and Cloud Storage connectors are listed. [1] | ◐ Partial Data Map lists BigQuery metadata and lineage but not automatic classification. Do not equate cataloging with content inspection. [2] |
| Snowflake / Databricks | ● Full Snowflake and Databricks appear in the data-source catalog. [1] | ◐ 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 | ◐ Partial Windows file systems, NetApp and Dell EMC are listed. Confirm share protocols and collection requirements. [1] | ◐ Partial DLP for on-prem file shares uses the Information Protection scanner. Deployment and supported file types need checking. [1] |
| SaaS apps | ◐ Partial The catalog lists Box, Dropbox, Google Workspace, Salesforce, Slack and Confluence. [1] | ◐ 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 | Not established in the reviewed sources. | Purview deployment requirements differ by workload. The Information Protection scanner for on-prem files runs on customer-managed infrastructure. [4] [6]
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| Pricing | Pricing was not established in the reviewed sources. | Purview uses complementary per-user and pay-as-you-go billing models. [3]
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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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