Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
Apply Filters For 10+ Million Software Purchases
- CyberSecurity
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Ada County | Government | 2100 | $231M | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2018 | n/a | In 2018, Ada County implemented Palo Alto Networks TRAPS as part of a prevention-oriented initiative within the Palo Alto Networks Security Operating Platform. Palo Alto Networks TRAPS, classified as Endpoint Detection and Response (EDR), was positioned to shift endpoint controls from reactive detection to proactive prevention across the county IT environment. Deployment centered on agent-based endpoint enforcement, with Traps providing exploit prevention, malware prevention, and behavioral threat analysis capabilities typical for Endpoint Detection and Response (EDR). Configuration emphasized centralized policy management and local enforcement on endpoints, enabling standardized prevention policies and automated blocking of exploit techniques. Traps was implemented as an integrated component of the Palo Alto Networks Security Operating Platform, aligning with the platform management consoles and threat intelligence flows supplied by Palo Alto Networks. Operational scope covered Ada County endpoints broadly, with agents deployed across the county endpoint estate to secure workstations and networked devices used in county operations. Bret Lopeman, senior security engineer at Ada County, discusses the organization adopting a prevention-oriented approach to network security that leverages Palo Alto Networks TRAPS for endpoint protection. Governance changes included centralized policy workflows and enforcement controls, shifting endpoint security operations toward proactive prevention and consolidated management. | |
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Fisher-Titus Medical Center | Healthcare | 1300 | $167M | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2018 | n/a | In 2018, Fisher-Titus Medical Center began adding Palo Alto Networks TRAPS to its Endpoint Detection and Response (EDR) defenses. The medical center cited rising ransomware and other sophisticated exploits targeting PCs and servers, and noted that traditional antivirus solutions were no longer adequate. The effort targeted extension of the Palo Alto Networks platform to deliver advanced endpoint protection across clinical and administrative environments. Deployment emphasized prevention-first capabilities native to Palo Alto Networks TRAPS, including behavioral threat prevention, exploit mitigation, and signatureless local analysis on endpoints. Configuration work focused on centralized policy management via the Traps management console, role-based access controls for security and IT operators, and automated enforcement of containment policies to limit lateral movement. Palo Alto Networks TRAPS was integrated into the organization’s Palo Alto Networks platform to align endpoint controls with broader security posture. Operational coverage concentrated on desktop PCs and servers supporting clinical applications and administrative systems, with endpoint telemetry centralized for security operations and monitoring workflows. Rollout used a phased deployment model coordinated by IT security and desktop support, with standardized policies and playbooks to fold Traps detections into incident response and change management processes. Governance emphasized clear operational responsibilities between security operations and IT teams, and policy standardization across site endpoints. | |
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Retail | 12500 | $2.7B | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2018 | n/a |
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Insurance | 26000 | $1.2B | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2017 | n/a |
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Communications | 1880 | $1.2B | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2014 | n/a |
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Construction and Real Estate | 912 | $605M | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2018 | n/a |
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Professional Services | 800 | $80M | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2018 | n/a |
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Government | 700 | $100M | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2018 | n/a |
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Education | 200 | $20M | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2018 | n/a |
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Manufacturing | 1160 | $584M | United States | Palo Alto Networks | Palo Alto Networks TRAPS | Endpoint Detection and Response (EDR) | 2017 | n/a |
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