Data Security Platforms
Research preview. Based on public sources, not deployment testing.
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Cyera vs Sentra

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 Sentra
CompareCyeraUpdated SentraUpdated
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]Sentra classifies cloud data, analyzes sharing permissions and alerts on suspicious data activity. Its scanning architecture allows both customer-owned and Sentra-owned scanner accounts. [1] [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]

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]

This workflow has not been established in our research.

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]

This workflow has not been established in our research.

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 & responseUnconfirmedDocumented [1]
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

S3, DynamoDB and Bedrock data are named. Validate the complete AWS service list and each scan mode. [1]

Google Cloud? Unconfirmed? Unconfirmed
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]

? Unconfirmed
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

File shares are included in the AWS product description. Protocol and appliance support require confirmation. [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

Claude Enterprise projects, conversations and files can be scanned through the Anthropic Compliance API. [3]

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.

Sentra documents cloud-native API connections and scanners typically placed in the customer cloud with read-only permissions. [2]

Account ownership
Both Sentra-owned and customer-owned scanner accounts are supported.
Data location
The trust page states analysis stays in the region where data was discovered. Confirm the selected deployment.
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. Specify which account owns every scanner and where extracted samples and metadata are retained.
  2. Compare full and sampled scans on the same store and disclose skipped data.
  3. Demonstrate an exfiltration alert and the action an operator can take from it.

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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