List of Forescout Platform Customers
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Since 2010, our global team of researchers has been studying Forescout Platform 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 Forescout Platform for Endpoint Detection and Response (EDR), 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 Forescout Platform for Endpoint Detection and Response (EDR), Threat Modeling include: AES Corporation, a United States based Utilities organisation with 9600 employees and revenues of $12.67 billion, ECU Health, a United States based Healthcare organisation with 12000 employees and revenues of $3.61 billion, Hard Rock Stadium, a United States based Leisure and Hospitality organisation with 100 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using Forescout Platform, 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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AES Corporation | Utilities | 9600 | $12.7B | United States | Forescout Technologies | Forescout Platform | Endpoint Detection and Response (EDR),Threat Modeling | 2022 | n/a |
In 2022, AES Corporation deployed the Forescout Platform to gain agentless visibility and strengthen OT/ICS security across its global power plants. The engagement is explicitly focused on Operational Technology security in the United States and internationally, and the Forescout Platform was applied within an Endpoint Detection and Response (EDR),Threat Modeling context to improve vulnerability identification and detection capabilities.
AES used the Forescout Platform to inventory OT assets and to surface anomalous device behavior, reflecting usage of OT asset visibility and threat detection capabilities described in the vendor blog. Configuration centered on agentless discovery across industrial control networks and rule-based detection policies, aligning with standard Endpoint Detection and Response (EDR),Threat Modeling functional workflows for continuous monitoring and threat modeling of OT assets.
Operational coverage included global power plant sites with emphasis on OT and ICS network segments, and the platform was operated by AES security and OT engineering teams to bridge asset management and incident detection. The deployment model emphasized non-intrusive visibility to avoid changes to plant control systems while enabling centralized detection capabilities across geographically distributed sites.
Governance adjustments focused on formalizing OT asset inventories and updating vulnerability assessment workflows to incorporate Forescout Platform findings, supporting coordinated risk assessment between cybersecurity and operational teams. The engagement outcome as reported was improved vulnerability identification and enhanced detection capabilities for OT environments, consistent with the stated objectives in the source blog and the applied Endpoint Detection and Response (EDR),Threat Modeling approach.
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ECU Health | Healthcare | 12000 | $3.6B | United States | Forescout Technologies | Forescout Platform | Endpoint Detection and Response (EDR),Threat Modeling | 2022 | n/a |
In 2022, ECU Health implemented Forescout Platform to establish healthcare network segmentation and strengthen protection of patient data and medical devices. The deployment targeted healthcare operations in the United States and was presented in a Forescout webinar where ECU Health cited regulatory compliance and improved segmentation outcomes, positioning the effort under Endpoint Detection and Response (EDR),Threat Modeling.
The implementation emphasized segmentation and threat detection capabilities within the Forescout Platform, including agentless device discovery, device classification, network based visibility, and policy based enforcement to isolate medical devices and limit lateral movement. Configuration work focused on segmentation policy templates, classification profiles for medical device types, and automated enforcement workflows tied to device posture and risk signals.
Operational scope covered IT security, network operations, clinical engineering, and patient data protection functions, with rollout governance coordinated between security and clinical teams. Integrations with other systems were not specified in the webinar source, so the narrative centers on internal Forescout Platform modules and network enforcement points rather than named external connectors.
Governance changes included formalized segmentation policies, device onboarding procedures, and change management to align operations with regulatory requirements cited by ECU Health. The webinar noted regulatory compliance alignment and improved segmentation outcomes, indicating Forescout Platform is being used as a control plane for ongoing threat modeling and endpoint detection activities within ECU Health healthcare operations.
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Hard Rock Stadium | Leisure and Hospitality | 100 | $10M | United States | Forescout Technologies | Forescout Platform | Endpoint Detection and Response (EDR),Threat Modeling | 2020 | Atos |
In 2020, Hard Rock Stadium implemented the Forescout Platform to secure stadium operations ahead of Super Bowl LIV in Florida. The deployment aligned with Endpoint Detection and Response (EDR),Threat Modeling and focused on network-level visibility and control for event-critical systems. Atos and Forescout Technologies collaborated on the implementation to instrument network segmentation and monitoring across the venue. The program targeted more than 7,100 IT, IoT and OT devices supporting game-day operations.
The implementation used Forescout’s eyeSegment network segmentation and monitoring capability within the Forescout Platform, enabling microsegmentation, policy-based access control, and continuous device posture assessment. Functional modules implemented included device discovery, segmentation enforcement, and real-time threat detection workflows consistent with Endpoint Detection and Response (EDR),Threat Modeling practices. Configurations emphasized enforcement at network segmentation points and automated response actions to contain anomalous device behavior.
Atos executed the rollout with on-site coordination during the Super Bowl LIV event, integrating Forescout Platform controls into the stadium network fabric and operational communications. The deployment scope covered IT, IoT and OT domains that support stadium operations and critical infrastructure, providing centralized visibility across diverse vendor equipment and system segments. The event-focused deployment model prioritized network visibility and control for a heterogeneous device population typical of large venues.
Operational governance established event-specific segmentation policies, enforcement zones and response playbooks to support sustained monitoring during the event. The implementation provided real-time threat detection and control across stadium systems, protected stadium operations and critical infrastructure, and ensured a consistent fan experience for Super Bowl LIV as reported by Forescout.
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