List of Weeds Widas Customers
Seoul, N/A,
South Korea
Since 2010, our global team of researchers has been studying Weeds Widas 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 Weeds Widas for Network Detection and Response (NDR) 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 Weeds Widas for Network Detection and Response (NDR) include: Korea Midland Power, a South Korea based Utilities organisation with 179 employees and revenues of $20.0 million, Korea Securities Finance Corporation, a South Korea based Banking and Financial Services organisation with 100 employees and revenues of $15.0 million, Korea Education & Research Information Service, a South Korea based Education organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Weeds Widas, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Korea Education & Research Information Service | Education | 10 | $1M | South Korea | Weeds Korea | Weeds Widas | Network Detection and Response (NDR) | 2019 | n/a |
In 2019, Korea Education & Research Information Service implemented the WEEDS BlackBox Suite to create complete access records and support 개인정보보호법 compliance and internal investigation capabilities across its education IT systems in South Korea. The deployment included Weeds Widas as the web intrusion and forgery monitoring component aligned with a Network Detection and Response (NDR) approach to capture web-layer events and persistent access logs.
The implementation concentrated on centralized access record generation, web-layer intrusion monitoring, and tamper-evident event capture. Weeds Widas provided web intrusion/forgery monitoring, forensic access logging, and event aggregation consistent with Network Detection and Response (NDR) functional workflows, enabling inspection of web session activity and preservation of evidentiary records.
Operational coverage was scoped to KERIS education IT systems across South Korea, supporting internal investigation workflows and regulatory compliance processes. Governance and process adjustments focused on retention of centralized access records and structured investigation handoffs, improving the organization level ability to trace access and respond to suspected web intrusion incidents.
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Korea Midland Power | Utilities | 179 | $20M | South Korea | Weeds Korea | Weeds Widas | Network Detection and Response (NDR) | 2019 | n/a |
In 2019, Korea Midland Power deployed Weeds Widas as part of a broader WEEDS BlackBox Suite implementation to address Network Detection and Response (NDR) requirements. The year marks the start of a focused effort to instrument network and web-facing telemetry for a mid-sized South Korean utility.
The implementation generated and managed 개인정보 접속기록 data access logs to support insider-threat detection and regulatory compliance, leveraging the WEEDS BlackBox Suite logging capabilities and inferred WIDAS website intrusion and forgery detection functionality. Functional configuration emphasized continuous telemetry collection, anomaly detection workflows, and alerting designed to surface suspicious access patterns and potential web-based intrusion events relevant to utility operations. Operational ownership was placed with security operations and compliance teams, aligning detection use cases with insider-threat monitoring and statutory audit requirements.
Governance and rollout concentrated on log collection policies, role-based access controls, and retention practices to meet South Korean 개인정보 protection obligations, with WEEDS BlackBox Suite used to centralize access records and evidence for audits. Weeds Widas served as the suite component providing NDR-aligned detection and monitoring capabilities, forming a centralized detection layer for Korea Midland Power's security and compliance workflows.
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Korea Securities Finance Corporation | Banking and Financial Services | 100 | $15M | South Korea | Weeds Korea | Weeds Widas | Network Detection and Response (NDR) | 2019 | n/a |
In 2019, Korea Securities Finance Corporation implemented Weeds Widas as its Network Detection and Response (NDR) application while purchasing the WEEDS BlackBox Suite to capture and analyze access records for 개인정보 보호 and internal-use auditing within its financial systems. The deployment is described as a Weeds security platform adoption focused on network and website monitoring aligned with compliance and internal audit use cases.
The implementation combined WEEDS BlackBox Suite capture capabilities with Weeds Widas monitoring and analysis functions, providing centralized collection of access records, traffic-level monitoring, behavioral detection, and event analysis consistent with Network Detection and Response (NDR) workflows. Configuration appears to emphasize continuous capture and forensic-ready storage of access logs, plus rule-based and behaviorally informed detection to support audit investigations.
Operational coverage targeted the institution’s financial systems in South Korea, with the solution ingesting access records and centralizing them for compliance review and internal auditing. Governance and operational users are described as compliance and internal audit teams, reflecting a structured use of the platform for 개인정보 보호 obligations and internal-use audit processes.
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