Cyberhaven vs Cyera

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 Cyberhaven and Cyera
Compare	CyberhavenUpdated 3 Oct 2026	CyeraUpdated 4 Oct 2026
Approach	Cyberhaven combines endpoint and cloud discovery with data lineage and DLP. Its DSPM adds origin and movement context to classification and flags excessive repository permissions. [1]	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]
Restrict file sharing in Microsoft 365	This workflow has not been established in our research.	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]
Find sensitive data in S3	This workflow has not been established in our research.	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]
Classify Snowflake data	This workflow has not been established in our research.	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]
Mask sensitive columns in Snowflake	This workflow has not been established in our research.	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]
Classify on-prem file shares	This workflow has not been established in our research.	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]
Discovery & classification	Documented [1]	Documented [1]
Access governance	Documented [1]	Documented [1]
Data loss prevention	Documented [1]	Unconfirmed
Detection & response	Unconfirmed	Unconfirmed
Encryption & tokenization	Unconfirmed	Unconfirmed
Microsoft 365	◐ Partial Cloud APIs connect to Office 365 for visibility into content created and shared in the cloud. Confirm workload-level at-rest scans separately. [2]	● Full Releases document Exchange discovery and classification alongside native public and organization-wide sharing remediation for SharePoint, OneDrive and Teams. [4] [5]
AWS	? Unconfirmed	◐ 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]
Google Cloud	? Unconfirmed	? Unconfirmed
Snowflake / Databricks	? Unconfirmed	● Full Snowflake scanning is documented separately from the findings-export integration. Databricks Unity Catalog scanning is listed in the integration catalog. [2] [3]
On-prem shares	? Unconfirmed	● Full Identity analysis maps Active Directory access to sensitive files on SMB shares, NetApp and Dell PowerScale. Confirm the connector and remediation scope. [5]
SaaS apps	◐ Partial Cloud APIs connect to Google Workspace. Endpoint and cloud lineage provide different views of data movement. [2]	◐ 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]
Deployment and data handling	Cyberhaven combines cloud API connectors with an endpoint agent to follow data movement. [2] Cloud visibility APIs observe content created and shared in sanctioned applications, including access through unmanaged devices. Endpoint visibility The endpoint component follows data movement on managed devices. Confirm supported operating systems and browser requirements.	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.
Pricing	Pricing was not established in the reviewed sources.	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.
Test in the evaluation	Separate stored-content scanning from observing a user download or upload in each required application. Which device agent, browser extension and API connections does the proposed deployment need? Test copy-pasted and transformed data, including offline devices and unsupported browsers.	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.

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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