Paris, 95877,
France
Atos
Atos, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Atos collaboration with software players such as Forescout Technologies, SAP and Rave Mobile Safety empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Leisure and Hospitality | 100 | $10M | United States | Forescout Technologies | Forescout Platform | Endpoint Detection and Response (EDR),Threat Modeling | 2020 | 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. | |
|
|
|
Government | 3129 | $2.1B | Belgium | SAP | SAP S/4 HANA | ERP Financial | 2016 | ||
|
|
|
Government | 412245 | $298.0B | United States | Rave Mobile Safety | Rave Aware | Critical Event Management | 2022 | In 2022 the State of California implemented Rave Aware as a statewide Critical Event Management solution under the NG911 program. Rave Aware was deployed to enable CAD data sharing across PSAPs and to improve 9-1-1 situational awareness and cross agency collaboration, with deployment managed under the NG911 program and Atos serving as the prime systems integrator. The implementation focused on standardizing CAD data ingestion and event correlation, configuring situational awareness dashboards and incident timelines, and enabling role based access for public safety dispatch and command staff. Rave Aware was configured to normalize disparate CAD feeds, support alerting and mass notification workflows consistent with Critical Event Management capabilities, and provide operational tools for PSAP incident handling and interagency coordination. Integration work included an explicit integration with RapidDeploy mapping to provide a unified geospatial view of incidents and CAD units, and to support cross PSAP visibility statewide. The implementation scope covered PSAPs across California as part of the NG911 program, aligning Rave Aware with statewide call routing and situational awareness objectives for first responders and dispatch centers. Governance and rollout were executed through the NG911 program structure with Atos as prime, establishing data governance standards for CAD feeds, standardized onboarding procedures for individual PSAPs, and operational training to adjust dispatch and cross agency collaboration workflows. The program emphasized phased statewide activation and coordinated governance to maintain consistency of CAD sharing and situational awareness practices. The deployment of Rave Aware aims to reduce response times and increase first responder safety by improving 9-1-1 situational awareness and enabling cross agency collaboration through shared CAD data and integrated mapping. | |
|
|
|
Government | 950 | $396M | United States | Mitel | Mitel Critical Event Management (CEM) | Critical Event Management | 2019 |
|
|
|
|
|
Government | 3450 | $2.2B | United Kingdom | Atos | Atos Eviden Net Zero Cloud | Environmental, Social, and Governance (ESG) | 2023 |
|
|
|
|
|
Education | 7298 | $92M | United Kingdom | Nice Systems | NICE inContact CXone Cloud CX Platform | Customer Experience | 2021 |
|
|
|
|
|
Consumer Packaged Goods | 180 | $95M | United Kingdom | SAP | SAP Fiori | Apps Development | 2017 |
|
|
|
|
|
Consumer Packaged Goods | 1200 | $600M | Germany | SAP | SAP S/4 HANA | ERP Financial | 2018 |
|
|
|
|
|
Consumer Packaged Goods | 180 | $95M | United Kingdom | SAP | SAP S/4 HANA - Sales and Distribution (SD) | Supply Chain Management | 2017 |
|
|
|
|
|
Consumer Packaged Goods | 180 | $95M | United Kingdom | SAP | SAP S/4 HANA - Materials Management (MM) | Inventory Management | 2017 |
|
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Buyer Intent: Companies Evaluating Atos Services
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||