Data security platforms for Google Cloud

Netskope documents store-specific discovery and classification across cloud, SaaS and file shares. SaaS support requires the relevant feature. Check the metadata sent to the application and the classification scope for each store. [1]

• ●Google Cloud BigQuery, Cloud Storage, Cloud SQL, Firestore and other stores are listed. [1]

Ask in the evaluation

Which SaaS connectors and classification types are included in the proposed license?

BigID supports metadata-only, sampled and full-content scans across files, databases and cloud stores. Its Snowflake integration also applies native tagging and masking. Compare scan settings and the proposed product entitlement. [1] [3]

• ◐Google Cloud Google Cloud Storage and BigQuery discovery are listed. [1]

Ask in the evaluation

Show how sampled and full scans classify the same representative dataset.

Cloudflare combines HTTP traffic inspection with API-based scans of stored content through CASB. Its documented CASB scan scope is publicly accessible files, with file-type and size limits. [1] [2]

• ◐Google Cloud Cloud Storage is supported. BigQuery and Cloud SQL are unconfirmed. [1]

Ask in the evaluation

Test whether your private, internally shared and public files are included in the proposed scan.

comforte protects data fields through tokenization and encryption. Its BigQuery integration replaces sensitive values with tokens while retaining formats for analytics. Verify who can reverse that protection. [2]

• ◐Google Cloud Field-level tokenization or format-preserving encryption is documented for BigQuery. Other GCP services are unconfirmed. [2]

Ask in the evaluation

Test joins, analytics and application behavior with tokenized values.

Concentric AI uses content context to classify data and identify excessive access. Its Microsoft 365 workflow connects discovery with permission and sharing remediation. [2]

• ◐Google Cloud BigQuery, Cloud SQL and Cloud Storage connectors are listed. [1]

Ask in the evaluation

Use your own business documents to test classification without preassigned labels.

DataSunrise combines database monitoring with discovery across databases, object stores and selected collaboration tools. Discovery, masking and blocking have different deployment paths. Confirm feature support for each source. [1] [2] [4]

• ◐Google Cloud The catalog lists BigQuery and Google Cloud Storage alongside Cloud SQL in the monitoring matrix. Confirm which controls apply to each store. [1] [4]

Ask in the evaluation

Supply a per-engine matrix for discovery, activity monitoring, blocking and masking.

Egnyte Secure & Govern scans connected content sources for sensitive data and access issues. Microsoft sources need permissions management configured to expose permission risks. Windows file servers use an agent. [1] [2]

• ◐Google Cloud Google Cloud Storage is supported. Availability differs in EgnyteGov. [1]

Ask in the evaluation

Confirm that the source is connected for governance rather than migration only.

Discovery produces data profiles, while inspection identifies individual sensitive values. Supported stores differ between these functions, so specify whether the evaluation needs a risk profile or a content scan. [1]

• ◐Google Cloud Discovery covers several Google Cloud stores. Inspection has a different support list, including BigQuery, Cloud Storage and Datastore. [1]

Ask in the evaluation

Does each required store need data profiles, individual inspection findings or both? Demonstrate the selected output.

Guardium spans discovery, classification and data detection and response across multiple products. Verify the component, collection method and license behind each promised control. [1]

• ◐Google Cloud BigQuery and multiple Google Cloud database services are listed. Confirm the product and collection method. [2]

Ask in the evaluation

Which Guardium products and licenses are required for the proposed stores?

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]

• ◐Google Cloud BigQuery uses policy-enforced views. The integration matrix limits sensitive-data discovery to column-name identification. [1]

Ask in the evaluation

Show masking and row filtering through every query path used by your applications.

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]

• ◐Google Cloud Data Map lists BigQuery metadata and lineage but not automatic classification. Do not equate cataloging with content inspection. [2]

Ask in the evaluation

For each required control, identify the workload, licensed plan and enforcement component. Demonstrate the action on that workload.

PK Protect Data Store Manager discovers and masks sensitive data across databases, cloud repositories and packaged apps. Confirm which protection method is available for each store and whether it changes source data or a derived copy. [1]

• ◐Google Cloud Google Cloud Storage is named. This does not establish BigQuery or database coverage. [1]

Ask in the evaluation

Does protection modify production values, create masked copies or enforce at query time?

Palo Alto Networks documents DSPM in Prisma Cloud and the newer Cortex Cloud documentation. Confirm the product edition, migration path and regional availability before using a feature list in procurement. [1] [2] [3]

• ◐Google Cloud Cortex documentation names Cloud SQL scanning. Confirm supported engines and other GCP stores. [1]

Ask in the evaluation

Identify the exact product, edition and DSPM entitlement in the contract.

Proofpoint DSPM discovers sensitive data and supports data-access analysis. Its Snowflake documentation describes different scan deployments, so require the architecture for the version being quoted. [1] [2]

• ◐Google Cloud Snapshot-based scanning is documented for Google Cloud SQL. Other GCP data services need confirmation. [4]

Ask in the evaluation

Is the proposed Snowflake scanner a native app or a sidecar in your AWS account?

Protegrity applies field-level tokenization, encryption and masking through protectors integrated with data platforms. Evaluate the protector and runtime for each store because policy enforcement depends on the integration path. [1] [2]

• ◐Google Cloud BigQuery and Dataflow are named. Confirm the required protector and execution path. [1]

Ask in the evaluation

Which runtimes and clients can access unprotected values?

Satori governs access to databases and warehouses through proxy or native API integrations. Choose the integration mode per store, then test policy coverage for users who connect directly. [2]

• ◐Google Cloud BigQuery is listed. This does not establish coverage for all Google Cloud stores. [1]

Ask in the evaluation

Which stores use a proxy and which use native policy APIs?

SecuPi combines data classification with fine-grained access policies and de-identification. Its coverage list spans applications, databases and cloud stores, but the enforcement method must be confirmed for each interface. [1]

• ◐Google Cloud BigQuery, Cloud SQL and other services are listed. Confirm the required control for each. [2]

Ask in the evaluation

Which enforcement component is needed for each data access path?

Securiti combines sensitive-data discovery with privacy workflows and access governance. Its Snowflake integration supports native access controls, row filtering and dynamic masking. [1] [2]

• ◐Google Cloud The Cloud Storage connector discovers, classifies and catalogs unstructured content. [3]

Ask in the evaluation

Separate data-security controls from privacy request automation in the quote.

DataGuard combines classification with identity, permission and activity analysis. Symmetry describes deployment within the customer environment, including the interface. Request a store-level support matrix before treating broad cloud claims as complete coverage. [1]

• ◐Google Cloud Google Cloud is included in the documented scope. Confirm individual stores and collection methods. [1]

Ask in the evaluation

Which connectors enumerate effective permissions and which only classify content?

CipherTrust combines data discovery with separately configured encryption and key-management components. Cloud key support does not establish content scanning or access governance for the same service. [1] [2]

• ◐Google Cloud Cloud Key Manager supports GCP key-management options. Content discovery across GCP stores is unconfirmed in these sources. [2]

Ask in the evaluation

Map each store to discovery, encryption and key-management components and quote them separately.

Varonis combines content classification, effective-permission analysis and activity monitoring. Its Microsoft 365 controls include removing risky shared links and excessive access. [2]

• ◐Google Cloud Google Cloud Storage and BigQuery are named. Other GCP services need confirmation. [1]

Ask in the evaluation

For every connector, identify where file content is processed, which metadata leaves the environment and whether File Analysis or AI Monitoring changes retention.

Wiz links sensitive-data findings to cloud identity and infrastructure risks. Its DSPM and entitlement analysis can help investigate who can reach sensitive data alongside the surrounding cloud configuration. [1]

• ◐Google Cloud A customer deployment documents BigQuery and cloud database scanning. Confirm Cloud SQL engines and storage scope. [2]

Ask in the evaluation

Show the difference between a user with permission and a user who actually accessed the data.

Zscaler documents different scan methods by store, including APIs, snapshots, exports and sampled queries. A supported connector does not establish that every row or object is inspected. [1]

• ◐Google Cloud Cloud Storage, Compute disks, Cloud SQL and BigQuery are listed. BigQuery scans use sampling. [1]

Ask in the evaluation

What sampling rate and exclusions apply to each store?

ALTR applies access policies, masking and tokenization to connected databases. Snowflake enforcement and classification can take different processing paths, so check which data leaves the account. [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which protection types require an external call, and where will classification run?

Macie discovers sensitive data in Amazon S3. Storage classes, file formats and object eligibility limit what it can inspect. Database exports to S3 do not constitute a native database integration. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Show which objects were inspected, skipped or excluded, grouped by format, storage class and access failure.

Bedrock combines data classification with entitlement analysis in its Metadata Lake. Adaptive scanning selects representative samples from similar objects. Check the sampling policy and what metadata reaches the service. [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

How are representative samples chosen and what could be missed?

Falcon Data Security for Cloud combines agentless discovery with runtime monitoring of sensitive data flows. Runtime visibility uses eBPF in the Falcon sensor. Request a store-level matrix before treating broad cloud coverage as complete. [1] [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

List the exact cloud storage and database engines inspected at rest.

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]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Separate stored-content scanning from observing a user download or upload in each required application.

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]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Draw the SaaS or Outpost data flow for each required store, including metadata, samples, regions and any local connector.

DataMasque runs configurable masking jobs against supported databases. Its documented run_data_discovery task inspects schema metadata for likely sensitive columns. That task should not be mistaken for content classification. [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Separate metadata discovery from any licensed content-discovery feature in the proposed workflow.

Forcepoint DSPM discovers and classifies data, while streaming integrations support activity monitoring. Its Microsoft 365 labeling integration writes classification results to Purview sensitivity labels. [2] [3]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Quote DSPM, activity monitoring and DLP enforcement separately.

FortiDLP combines endpoint controls with SaaS integrations. Browser activity controls and stored-content connectors have different visibility. Check which path protects each app and whether the needed feature is in the proposed tier. [1] [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which controls use an endpoint agent and which inspect content through an app connector?

Fortra DLP is the current name for Digital Guardian. Endpoint agents, network appliances and discovery components cover different data paths. The discovery documentation explicitly covers local and network shares. [1] [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which components are needed for endpoint, network and stored-data coverage?

GTB documents repository discovery alongside endpoint and network DLP. SharePoint Online and S3 have separate setup guides. Confirm discovery-server placement and the permissions required for each cloud connection. [2] [3] [4]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which requested Graph permissions are necessary for the selected remediation actions?

Metomic combines SaaS content discovery and remediation with controls for AI requests. Evaluate app connectors and the MCP gateway separately because they inspect different paths to sensitive data. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which controls inspect stored app content and which require traffic through the MCP gateway?

Netwrix Data Classification scans file shares, Microsoft 365 and selected SaaS sources. Netwrix Auditor can use its classifications in audit reports. Confirm the licensed products together. [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

List the exact product editions needed for classification, audit and access remediation.

Nightfall offers native SaaS integrations and a developer scanning API. Custom API workflows require integration work, so distinguish them from ready-made connectors when comparing coverage. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which integrations need elevated app permissions or a specific app subscription?

OneTrust connects discovery and classification with privacy and access policies. Its Snowflake integration applies data tags and role-based masking. Confirm the current entitlement and enforcement workflow. [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Show the deployed version of the Snowflake integration and the permissions it requires.

Data Safe focuses on Oracle databases, including deployments outside Oracle Cloud. Discovery identifies sensitive columns. Its database scope should not be read as coverage of file shares or collaboration apps. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Can each target database connect to the selected Data Safe region?

Polymer classifies SaaS content and applies actions such as redaction, deletion and sharing restrictions. Remediation differs by app. Its Standard price is per user and per integration, which matters when connecting several apps. [1] [2] [3]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

How are active users counted across multiple integrations?

Privacera manages access policies and scans supported data platforms. Snowflake discovery supports offline and incremental scans, while its feature matrix excludes real-time scanning and lineage. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Test policy enforcement on SELECT queries and document what happens on writes.

Rubrik DSPM combines classification with sensitive-data access analysis and suspicious-activity monitoring. Confirm whether each finding comes from a live source or protected data in the proposed configuration. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Map live scanning, backup classification and their refresh intervals for every source.

Safetica combines content classification, DLP and user-activity controls. Cloud-hosted and on-prem editions have different feature sets. The plan matrix distinguishes Microsoft 365 visibility from sharing policies, so check the required action. [3]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which policies can block an action versus report it after it happens?

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]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Specify which account owns every scanner and where extracted samples and metadata are retained.

Skyhigh combines cloud access controls with content classification and DLP. API and proxy use cases need separate evaluation, especially when the requirement is to stop a download from an unmanaged device. [1] [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which controls scan stored content and which intercept activity?

Spirion uses scanning agents with a SaaS analytics platform. Differential scans skip unchanged files, but that feature has its own source restrictions. Confirm whether a scan covers all content or only changes. [2] [3]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which sources support differential scans and which require full rescans?

Symantec DLP spans endpoint, network, stored-data and cloud components. File-share discovery and cloud enforcement can require different products, so evaluate the licensed combination against the intended channels. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which DLP Core, CloudSOC and cloud detection licenses are required?

Tenable combines sensitive-data classification with cloud exposure and identity findings. Its DSPM uses agentless API scans and provides guided remediation for risky configurations and permissions. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Confirm DSPM entitlement and scan costs in the exact Tenable One package quoted.

Trellix separates endpoint, network and stored-data DLP. Discover inventories and classifies repository content. Confirm the required modules and current server support before using older deployment specifications. [1] [2]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Which supported server versions and Discover components are required today?

TrustLogix monitors and enforces data-access policies in analytics platforms. It can use Alation classifications and catalog metadata as inputs, so confirm which discovery capabilities come from a separate product. [1]

• ?Google Cloud Coverage was not established by the sources reviewed.

Ask in the evaluation

Show enforcement when a user queries through an alternate client or service account.