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Cyera vs Immuta

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 Immuta
CompareCyeraUpdated ImmutaUpdated
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]Immuta manages access policies in supported analytics platforms. Enforcement differs by integration, so a Snowflake masking policy should not be assumed to work identically in BigQuery or S3. [1]
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]

This workflow has not been established in our research.

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]

This workflow has not been established in our research.

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]

Immuta runs regex and dictionary identification queries in Snowflake, returning column names and matching identifiers without raw values. Column-name identification uses metadata held in Immuta. [5]

Content identification generally covers text columns, with documented date and time exceptions. Competitive identifiers require a 90% sample match and queries time out after 15 minutes by default. Test sparse sensitive values and complex views. [5]

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]

Immuta administers native Snowflake column-masking and row-access policies on registered objects. Users query Snowflake directly and receive policy-controlled results. [4]

The integration requires Snowflake Enterprise. User mapping and policy sync must be configured. Listed excepted users and roles bypass Immuta policies. Include those identities and views in the acceptance test. [4]

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]

This workflow has not been established in our research.

Discovery & classificationDocumented [1]Documented [1]
Access governanceDocumented [1]Documented [1]
Data loss preventionUnconfirmedUnconfirmed
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]

? Unconfirmed
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

Redshift uses policy-enforced views. S3 supports subscription policies but the comparison table does not list data-policy enforcement. [1]

Google Cloud? Unconfirmed◐ Partial

BigQuery uses policy-enforced views. The integration matrix limits sensitive-data discovery to column-name identification. [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 integrations support native access policies. Verify feature parity for your integration mode. [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]

? Unconfirmed
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]

? Unconfirmed
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.

In Snowflake, Immuta administers native row-access and column-masking policies on tables. [2] [3] [4]

Query path
Users query Snowflake directly while those policies are enforced.
Connection setup
The integration requires Snowflake Enterprise. An Immuta application administrator registers the connection. The Snowflake setup user needs CREATE DATABASE, CREATE ROLE and MANAGE GRANTS with grant option.
Retained system access
The generated script grants the system account CREATE ROLE, MANAGE GRANTS, APPLY MASKING POLICY and APPLY ROW ACCESS POLICY with grant option. Scope source USAGE and REFERENCES to the registered objects.
Content access
SELECT is required for identification or specialized masking that uses fingerprinting. Iceberg and external tables need grants for their own object types.
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.

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. Show masking and row filtering through every query path used by your applications.
  2. What privileges remain after initial integration and how are policies removed safely?
  3. Measure warehouse compute and query latency with your actual policy set.

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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