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Case Study

Pioneering Medical Technology and Manufacturing Company Achieves Broad and Deep Visibility

Armis Enables Security and IT Team to Build an Accurate and Complete Asset Inventory and Accelerate Vulnerability Management

This rapidly growing medical technology and manufacturing company, with mergers and acquisitions (M&As) at the core of its expansion and innovation strategy, implemented Armis to create a comprehensive asset inventory in alignment with NIST CSF standards. The agentless solution identified nearly all network-connected IT, IoT, and OT devices, while also significantly improving vulnerability management and providing enriched data that is easily accessible from a central dashboard.

As an innovation trailblazer, the organization’s key security concerns revolve around protecting intellectual property (IP) and source code
for their products and keeping day-to-day operational data safe. The security engineer and his team are dedicated to this mission. The security team is engaged with the business in multiple facets of cybersecurity: IT and OT, product lifecycle management, software development, R&D for emerging technologies, and compliance to industry and other regulatory mandates. The security team collaborates closely with the 60-person IT team to keep things running smoothly and efficiently.

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Challenges
  • challenges iconGetting a better handle on all devices: IT, OT, and IoT
  • challenges iconCreating more a complete asset inventory following NIST CSF standards
  • challenges iconGaining deeper, more comprehensive insights into the entire environment, including vulnerabilities
  • challenges iconUnderstanding data flows and communication between devices
Results
  • result iconNearly 100% device discovery due to agentless, passive monitoring, which covers all device types
  • result iconIdentification of unpatched or out-of-date devices for more accurate and timely vulnerability management
  • result iconCustomizable reporting and a user-friendly, centralized dashboard
  • result iconIntegrations with current tools providing an enriched data set for improved correlation and actionable information