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Samsung Research America Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Samsung Research America and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 350 Samsung Research America employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Samsung Research America has purchased the following applications: Fidelis Network DLP for Data Loss Prevention in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Samsung Research America is running and its propensity to invest more and deepen its relationship with Fidelis Cybersecurity or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Samsung Research America revenues, which have grown to $60.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Samsung Research America intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Fidelis Cybersecurity | Legacy | Fidelis Network DLP | Data Loss Prevention | CyberSecurity | n/a | 2018 | 2018 | In 2018 Samsung Research America implemented Fidelis Network DLP as a Data Loss Prevention solution. The deployment was executed in an environment that included Splunk 6.x and 7.x, Windows and CentOS 6.x and 7.x hosts, and an existing security tooling stack inventory. The implementation focused on capturing network level telemetry to centralize detection and alerting for research and professional services operations. Fidelis Network DLP was configured to deliver network traffic analysis, content inspection, policy based enforcement, and data fingerprinting workflows. Configuration work emphasized policy templates, pattern and signature sets, and alert threshold tuning to align detections with accepted data handling rules. Collector and sensor components were provisioned on Windows and CentOS hosts to capture inline and mirrored traffic flows within corporate network segments. The implementation integrated Fidelis Network DLP with Splunk for log aggregation and security event correlation, Nexpose for vulnerability context enrichment, Symantec Endpoint Security for endpoint telemetry sharing, and Secureauth for identity mapping. Incident alerts and enriched telemetry were routed into Splunk to support analyst triage and forensic investigation workflows. Governance included policy standardization and operational playbooks to manage DLP incidents and ongoing tuning across the combined toolchain. |
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