List of BigID Next Customers
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Since 2010, our global team of researchers has been studying BigID Next 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 BigID Next 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 BigID Next for Data Loss Prevention include: United States Army, a United States based Government organisation with 453551 employees and revenues of $65.25 billion, Telenor, a Norway based Communications organisation with 16000 employees and revenues of $11.12 billion, University of Maryland, a United States based Education organisation with 14992 employees and revenues of $2.98 billion and many others.
Contact us if you need a completed and verified list of companies using BigID Next, 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 BigID Next 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 | Insight Source |
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Telenor | Communications | 16000 | $11.1B | Norway | BigID | BigID Next | Data Loss Prevention | 2024 | n/a | In 2024, Telenor implemented BigID Next for Data Loss Prevention across its telecommunications environment, using the application to automatically locate and inventory customer and business data to support GDPR obligations. The deployment of BigID Next emphasized discovery and classification as foundational capabilities, aligning the Data Loss Prevention implementation with subscriber data protection and regulatory compliance requirements. Configuration emphasized automated classification, metadata tagging, and policy-driven governance to enable downstream workflows for data subject requests and data deletion. Telenor leveraged BigID Next capabilities for orchestration of DSR workflows, custodial workflows for sensitive subscriber records, and audit-ready reporting to streamline compliance checks and evidence collection. Operational coverage spanned privacy, compliance, security, legal, and customer operations teams, embedding centralized governance and role based stewardship for sensitive data handling. The implementation aimed to enable GDPR compliance, automate DSRs and data deletion processes, and streamline audits for subscriber data protection while maintaining discoverability and control across a complex telecom data estate. | |
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United States Army | Government | 453551 | $65.3B | United States | BigID | BigID Next | Data Loss Prevention | 2023 | n/a | In 2023 the United States Army deployed BigID Next for Data Loss Prevention to discover and classify mission-critical and sensitive data across cloud and on-prem systems, supporting Zero Trust initiatives, records management, and secure cloud migration. The deployment of BigID Next focused on enterprise-wide visibility into structured and unstructured data stores to underpin policy enforcement and compliance reporting. Implementation centered on automated discovery and classification modules and DSPM and Cloud DLP capabilities, combined with data-security workflows to tag, catalog, and prioritize sensitive data for governance teams. Configuration emphasized classification rulesets, sensitivity scoring, and metadata inventory to enable searchability and contextual controls across datasets. Operational coverage extended across the Armys cloud and on-prem holdings that contain mission data, with use cases tied to records management processes and cloud migration programs. The solution was applied to support audit and reporting workflows, enabling centralized evidence of data handling for compliance and oversight purposes. Governance activities aligned with Zero Trust principles, leveraging BigID Next outputs to inform access policies and records retention decisions. The deployment reduced redundant and obsolete data and improved audit and reporting capabilities, strengthening data stewardship practices without specifying implementation partners or discrete system integrations. | |
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University of Maryland | Education | 14992 | $3.0B | United States | BigID | BigID Next | Data Loss Prevention | 2025 | n/a | In 2025, the University of Maryland deployed BigID Next as a Data Loss Prevention solution to scan enterprise cloud storage. The implementation specifically targeted cloud file stores including Google Drive, OneDrive, Box, and Office365 as primary discovery sources. Deployment used the BigID Next DLP cloud data protection module to classify sensitive content, prioritize high risk findings, and execute remediation workflows. The implementation identified and removed more than 27,000 personally identifiable information records from managed cloud repositories, and configuration emphasized automated scanning, classification and remediation policies aligned to institutional data protection standards. Operational coverage encompassed enterprise cloud storage consumed across the university, linking the BigID Next deployment to campus data security, compliance, and risk management functions. Integrations with Google Drive, OneDrive, Box and Office365 were explicit for discovery and removal actions, positioning BigID Next within cloud-to-governance operating procedures. The vendor case study cites a material reduction in risk exposure with an estimated $5 million reduction in risk tied to the remediation activity. Governance changes embedded discovery and remediation into ongoing data protection processes to sustain the universitys Data Loss Prevention posture. |
Buyer Intent: Companies Evaluating BigID Next
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