List of Sentra DSP Customers
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Since 2010, our global team of researchers has been studying Sentra DSP 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 Sentra DSP for Data Loss Prevention, Threat Modeling 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 Sentra DSP for Data Loss Prevention, Threat Modeling include: SoFi at Work, a United States based Banking and Financial Services organisation with 5000 employees and revenues of $2.68 billion, BigBasket, a India based Retail organisation with 6000 employees and revenues of $1.70 billion, Global-e, a Israel based Professional Services organisation with 950 employees and revenues of $570.0 million and many others.
Contact us if you need a completed and verified list of companies using Sentra DSP, 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 Sentra DSP 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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BigBasket | Retail | 6000 | $1.7B | India | Sentra | Sentra DSP | Data Loss Prevention,Threat Modeling | 2025 | n/a | In 2025, BigBasket implemented Sentra DSP. The deployment targeted the retailer's AWS cloud footprint across India to protect customer and payment data and to support retail PCI compliance, using Sentra DSP within the Data Loss Prevention,Threat Modeling category. The implementation leveraged Sentra DSPM and DLP capabilities to automate discovery, classification, and policy enforcement for sensitive data stores. Sentra DSP's configuration focused on automated identification of customer and payment data, classification workflows, and enforcement policies that restrict or remediate exposed data to reduce shadow data and improve DPDPA and PCI readiness. Operational coverage included security, compliance, and cloud engineering teams across BigBasket's India operations and AWS environment, with Sentra DSP integrated into the company cloud storage and data inventory processes. The deployment emphasized continuous monitoring of cloud storage artifacts and automated policy application to transactional and archived data that support retail PCI compliance efforts. Governance changes centralized data protection policy ownership and introduced automated enforcement workflows through Sentra DSP, aligning DLP and DSPM outputs with compliance playbooks. Reported outcomes from the case study include reduced data security risks and lower cloud storage costs in AWS, alongside improved readiness for DPDPA and PCI requirements. | |
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Global-e | Professional Services | 950 | $570M | Israel | Sentra | Sentra DSP | Data Loss Prevention,Threat Modeling | 2024 | n/a | In 2024, Global-e implemented Sentra DSP to secure and govern sensitive ecommerce and customer data across its multi cloud environment, addressing data security and compliance needs for its Israel based and global operations. Sentra DSP was deployed as a Data Loss Prevention,Threat Modeling solution to provide continuous visibility over sensitive data stores and to reduce shadow IT risk. The implementation leveraged Sentra DSPs data security posture management capabilities, with configurations for data loss prevention and data access governance alongside detection and response workflows. Common category aligned functions were applied, including automated data discovery and classification, policy based access analytics, and orchestration of remediation playbooks to prioritize identified exposures. Deployment was scoped to support security, compliance, and engineering teams operating across Global-es multi cloud footprint, and the Sentra DSP configuration centralized access governance and incident prioritization workflows. Integrations focused on embedding detection and response signal paths and data access governance controls into operational security processes rather than point product replacements. Governance changes included formalizing data access review processes and operationalizing remediation queues to accelerate exposure resolution, aligned to the companys data security and compliance process area. The case study notes improved visibility and reduced shadow IT risk as realized outcomes following the Sentra DSP deployment. | |
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SoFi at Work | Banking and Financial Services | 5000 | $2.7B | United States | Sentra | Sentra DSP | Data Loss Prevention,Threat Modeling | 2024 | n/a | In 2024, SoFi at Work implemented Sentra DSP to manage continuous data creation and ensure regulatory compliance for its financial services operations. The deployment uses Sentra DSP within the Data Loss Prevention,Threat Modeling category to improve classification accuracy and reduce false positives across cloud and SaaS environments. The implementation emphasized a DSPM led DLP architecture with automated classification and remediation workflows. Configuration focused on data discovery and classification policy tuning to reduce noise and improve signal fidelity, while remediation workflows were instrumented to escalate and remediate flagged assets according to policy. Sentra DSP was deployed across SoFi at Work s US cloud estate and integrated with the company s cloud and SaaS environments to cover the finance process area. Operational coverage prioritized continuous monitoring, inventorying of sensitive data stores, and centralized policy enforcement across those cloud resources. Governance changes included formalizing classification policies and automated remediation playbooks to align security operations with compliance requirements. The implementation resulted in improved classification accuracy and reduced false positives as stated, while operationalizing continuous DSPM capabilities for ongoing regulatory control and incident triage. |
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