Cyera vs Varonis

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 Varonis
Compare	CyeraUpdated 4 Oct 2026	VaronisUpdated 4 Oct 2026
Approach	Cyera 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]	Varonis combines content classification, effective-permission analysis and activity monitoring. Its Microsoft 365 controls include removing risky shared links and excessive access. [2]
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]	Varonis documents effective-permission analysis and automated remediation of risky sharing links and excessive access in Microsoft 365. [2] Its Purview integration supplies labels for downstream DLP. Validate the access changes separately from any requirement to block a transfer. [2]
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]	Varonis documents classification of S3 objects alongside bucket exposure and effective-permission analysis. [5] The S3 release documents scoping by bucket, object, region, file type and size, plus optional sampling. Require the configured scope and skipped-object report before treating results as a complete inventory. [5]
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]	Varonis documents Snowflake classification at table and column level alongside role inheritance and effective-access analysis. [7] The coverage page does not specify the scan sample, supported data types, source grants or warehouse cost. Confirm these for the proposed connector and reconcile skipped objects against a known inventory. [7]
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]	Varonis states that its Snowflake integration automatically applies dynamic data masks to sensitive data. [7] The public coverage page does not establish the policy mechanism, required edition, supported objects or exception behavior. Request a demonstration of masked and authorized results, policy updates and rollback for the quoted product. [7]
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]	Varonis documents classifying Windows file shares and NAS data, linking sensitive files to effective permissions and replacing high-risk access groups through automated remediation. [6] Its collector model processes file content in the customer environment. Confirm the supported NAS model, collector prerequisites and approval and rollback behavior for each proposed access change. [3] [6]
Discovery & classification	Documented [1]	Documented [2]
Access governance	Documented [1]	Documented [2]
Data loss prevention	Unconfirmed	Unconfirmed
Detection & response	Unconfirmed	Documented [2]
Encryption & tokenization	Unconfirmed	Unconfirmed
Microsoft 365	● Full Releases document Exchange discovery and classification alongside native public and organization-wide sharing remediation for SharePoint, OneDrive and Teams. [4] [5]	● Full Content inspection, effective permissions, shared-link remediation and activity monitoring are documented. [2]
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]	● Full Coverage includes S3, RDS, Redshift, EBS, EC2-hosted databases and FSx for ONTAP. Check controls for each service. [1]
Google Cloud	? Unconfirmed	◐ Partial Google Cloud Storage and BigQuery are named. Other GCP services need confirmation. [1]
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]	● Full Snowflake and Databricks are listed for classification and data risk analysis. [1]
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]	● Full Windows file shares and NAS are supported. Confirm the appliance and protocol in scope. [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 Named data sources include Box, Google Workspace, Salesforce, Slack and ServiceNow. [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.	Varonis documents customer-hosted collectors for its Data Security Platform and a separate processing model for DatAdvantage Cloud. [3] [4] Collector model File content is classified inside the customer environment. Metadata, classifications and access events are sent to the SaaS platform. DatAdvantage Cloud Cloud-source content is retrieved for classification and then discarded. Metadata and classification results remain in the cloud. Content exceptions Optional File Analysis lets authorized users retrieve files through the platform. Opt-in AI Monitoring stores prompts and responses from AI audit logs for the licensed retention period.
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.	Pricing was not established in the reviewed sources.
Operating requirements	Not established in the reviewed sources.	Local components Customers are responsible for patching, restricting access to and monitoring on-prem components. Tenant and source access Customers select tenant geolocation and manage source credentials, secret rotation and encrypted connections. Staffing levels and ongoing operating hours are not established in these sources. [4]
Test in the evaluation	Draw the SaaS or Outpost data flow for each required store, including metadata, samples, regions and any local connector. Test seeded sensitive examples, unusual file types and low-frequency data. Show how clustering, scan exclusions and missed objects appear in the results. Demonstrate access revocation with approval, audit history and rollback. Identify the licensed plan and permissions required for each action.	For every connector, identify where file content is processed, which metadata leaves the environment and whether File Analysis or AI Monitoring changes retention. Demonstrate remediation of inherited permissions and anonymous links, including approval, audit history and rollback. Quote the required data sources and controls, then separate managed response and the infrastructure and staff responsibilities retained by the customer.

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.

Change platforms