Gartner Research

Network Sandboxing for Malware Detection

Published: 04 February 2016

ID: G00296097

Analyst(s): Mario de Boer


Network sandboxing is an increasingly important component of advanced threat detection. This assessment helps security professionals evaluate the strengths and weaknesses of network sandboxing in detecting and disrupting specific phases of malware attacks.

Table Of Contents


  • Network Sandboxing Functionality
  • Use Cases
  • The Role of Network Sandboxing in Malware Disruption
  • Alternatives and Adjacent Technologies
  • Deployment
    • Sensor Deployment
    • SSL and Other Encrypted Traffic
    • Sandbox Deployment: Physical Appliance, Virtual Appliance or Cloud?
    • Performance and Throughput
  • Detection
    • Threat Intelligence Will Make Malware Fail at Multiple Levels
    • Automated Prefilter
    • Static Detection Techniques
    • Dynamic Detection Techniques
    • Network Events: Callback Detection
  • Prevention
  • Response: Remediation Support by Sandbox Report
  • The Importance of End-to-End Analysis and Remediation
  • Manageability and Usability
  • Market Landscape
  • Future Developments
  • Strengths
  • Weaknesses


  • Do Not Deploy Network Sandboxing Before Optimizing Existing Malware Controls
  • Perform an Extensive Proof of Concept
  • Plan for Analysis and Remediation Capacity, Expertise and Tools
  • Choose a Network Sandbox That Best Fits Your Use Cases, Architecture and Expertise

The Details

  • Virtual Execution Environments: Sandboxing, Emulation and Virtualization
    • Emulation
    • Virtualization
    • Freely Available Virtual Execution Environments

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