List of Google Cloud Data Loss Prevention Customers
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Since 2010, our global team of researchers has been studying Google Cloud Data Loss Prevention customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud Data Loss Prevention for Data Loss Prevention from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud Data Loss Prevention for Data Loss Prevention include: Uala, a Argentina based Professional Services organisation with 1500 employees and revenues of $350.0 million, Boa Vista Servicos S.A., a Brazil based Banking and Financial Services organisation with 800 employees and revenues of $142.5 million, Dcard Taiwan, a Taiwan based Communications organisation with 300 employees and revenues of $30.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Data Loss Prevention, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Google Cloud Data Loss Prevention customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Boa Vista Servicos S.A. | Banking and Financial Services | 800 | $143M | Brazil | Google Cloud Data Loss Prevention | Data Loss Prevention | 2020 | n/a |
In 2020, Boa Vista Servicos S.A. implemented Google Cloud Data Loss Prevention as part of a broader migration to Google Cloud to modernize analytics, the enterprise data lake, and product development capabilities for its credit-bureau and financial services operations in Brazil. Boa Vista Servicos S.A. implemented Google Cloud Data Loss Prevention under the Data Loss Prevention category to centralize sensitive data controls across ingestion and processing pipelines feeding analytics and model development environments.
The deployment emphasized automated sensitive data discovery, classification, and de-identification workflows typical of Data Loss Prevention solutions, with configuration for both batch and streaming ingestion layers. Google Cloud Data Loss Prevention was used to apply classification labels, masking, tokenization and redaction patterns, and to populate metadata for cataloging sensitive records so downstream data science and product teams could consume governed data for feature engineering and training.
Operational scope covered analytics, data engineering and product development functions supporting Analytika model development in Brazil, with governance controls to enforce cataloging and controlled use of de-identified datasets. The implementation contributed to faster model development for Analytika, drastic reductions in ingestion and processing time, and improved de-identification and cataloging of sensitive records as part of the overall Google Cloud migration.
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Dcard Taiwan | Communications | 300 | $30M | Taiwan | Google Cloud Data Loss Prevention | Data Loss Prevention | 2021 | CloudMile |
In 2021, Dcard Taiwan implemented Google Cloud Data Loss Prevention to automatically identify high risk sensitive data inside its BigQuery data warehouse and analytics pipeline, using the Data Loss Prevention application to support content recommendation and user analytics in Taiwan. Google Cloud Data Loss Prevention was deployed as a core data governance control within analytics workflows to surface sensitive fields before downstream processing.
The implementation focused on embedding detection and classification capabilities directly into ETL and analytics jobs, running automated scan jobs against BigQuery tables and tagging sensitive columns for downstream handling. Configuration work included rule sets and inspection templates aligned to application level needs, and policy driven actions to flag or obfuscate sensitive data prior to being used by recommendation models or user analytics processes.
CloudMile acted as the documented Google Cloud partner on the project, supporting integration work and pipeline instrumentation. Integrations were centered on BigQuery and the wider Google Cloud analytics stack, with the Data Loss Prevention application operating as an inline control within the analytics pipeline that feeds content recommendation and product analytics functions.
Governance was tightened through centralized discovery and classification workflows, with Data Loss Prevention providing repeatable inspection and tagging that informed access controls and developer handling of sensitive datasets. Dcard cites improved data governance and near real time analytics outcomes after migrating key pipelines to Google Cloud, reflecting both operational readiness for sensitive data handling and reduced friction in analytics consumption.
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Uala | Professional Services | 1500 | $350M | Argentina | Google Cloud Data Loss Prevention | Data Loss Prevention | 2022 | n/a |
In 2022, Ualá incorporated Google Cloud Data Loss Prevention as part of a BigQuery-centric migration to improve classification and protection of customer and financial data for its fintech analytics platform across Argentina and Latin America. The migration kicked off in January 2022 and reached first production in April 2022.
The implementation linked Google Cloud Data Loss Prevention into a BigQuery-centric data architecture, embedding classification and automated de-identification into ingestion pipelines and analytic tables. Google Cloud Data Loss Prevention was configured to identify sensitive fields and apply classification labels, enabling inline protection workflows consistent with Data Loss Prevention functional controls.
Operational scope focused on the fintech analytics platform and supporting analytics and data engineering functions, handling approximately 100GB per day of incoming data while using Cloud DLP to classify and protect sensitive customer and financial records. The deployment delivered up to 50 percent cost optimization as reported during the migration.
Rollout followed a phased timeline from January to April 2022 with production controls implemented around automated scanning, policy-driven classification, and enforcement points in the ingestion process. Governance was formalized through classification policies and monitoring integrated with BigQuery to sustain ongoing sensitive data discovery and protection workflows.
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