List of DarkOwl Customers
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Since 2010, our global team of researchers has been studying DarkOwl 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 DarkOwl for 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 DarkOwl for Threat Modeling include: Radio, a New Zealand based Media organisation with 361 employees and revenues of $46.0 million, Galei Tzahal Israel, a Israel based Media organisation with 120 employees and revenues of $10.0 million, Four, Inc., a United States based Professional Services organisation with 50 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using DarkOwl, 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 DarkOwl 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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Four, Inc. | Professional Services | 50 | $5M | United States | DarkOwl | DarkOwl | Threat Modeling | 2026 | n/a |
In 2026, Four, Inc. established a public sector distribution arrangement to make DarkOwl Vision available via the SEWPV and ITES-SW2 contract vehicles for federal and state agencies. Four, Inc. positioned DarkOwl for U.S. public-sector procurement to support national security and critical infrastructure use cases, aligning the offering with the Threat Modeling category for agency cyber operations.
The implementation focused on delivering DarkOwl Vision darknet intelligence and threat detection capabilities typical of Threat Modeling solutions, providing agencies with darknet-sourced indicators, analyst-facing threat feeds, and situational awareness data. Configuration and packaging emphasized operational use by agency cybersecurity teams and SOC workflows, enabling ingestion of external threat indicators and analyst investigation workflows consistent with Threat Modeling functional patterns.
Procurement governance and rollout were executed through SEWPV and ITES-SW2 to make DarkOwl accessible to federal and state buyers under established government contract vehicles. This US-focused channel win made DarkOwl immediately accessible to public-sector customers, improving agencies' cyber threat detection and response capabilities and supporting mission-aligned national security and critical infrastructure protection efforts.
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Galei Tzahal Israel | Media | 120 | $10M | Israel | DarkOwl | DarkOwl | Threat Modeling | 2019 | n/a |
In 2019 Galei Tzahal Israel implemented DarkOwl as a Threat Modeling application. The deployment was scoped to the broadcaster's core technology and operations footprint, addressing cybersecurity considerations across radio production systems, in‑field reporting workflows, social publishing pipelines and the historical archives that support public access.
DarkOwl was configured to support threat modeling workflows typical for the Threat Modeling category, including asset and data flow mapping, attack surface analysis and scenario based risk identification. Configuration emphasized alignment with content production and distribution processes, enabling model driven prioritization of risks that could affect live broadcast and archive availability.
The broadcaster concurrently upgraded to Dalet Galaxy five to enhance production and archive capabilities, with Dalet On-the-Go provisioned for mobile reporting and Dalet Media Cortex used for speech to text archive indexing. Operational coverage therefore spanned production teams, field reporters, social publishing and archive management, creating an operational context for DarkOwl threat models to focus on content ingest, storage and distribution vectors.
Governance work focused on embedding threat modeling into editorial and engineering change processes, with workflows to translate modeled risks into remediation tasks for infrastructure and content systems. The Dalet deployment leveraged AI to make archived content searchable through speech to text indexing, an explicitly stated outcome of the 2019 initiative.
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Radio | Media | 361 | $46M | New Zealand | DarkOwl | DarkOwl | Threat Modeling | 2024 | n/a |
In 2024 RNZ implemented DarkOwl as a Threat Modeling application to formalize threat assessment practices within its security and engineering functions. The deployment centered on aligning threat scenario mapping with RNZ broadcast and digital delivery assets, establishing a common taxonomy for attack surface analysis and risk articulation. RNZ DarkOwl Threat Modeling was positioned to support collaborative model creation between security engineers and platform teams while preserving versioning and auditability of assessments.
DarkOwl was configured to deliver standardized threat model templates, a centralized threat library, attack surface mapping capabilities, and mitigation tracking workflows, supporting iterative review cycles tied to change control and incident response processes. Role based access controls and model versioning were implemented to enable cross functional reviews and controlled signoffs, and governance was structured around scheduled model reviews and stakeholder approvals to operationalize threat assessments across IT security and platform engineering.
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