Gartner Research

Malware Protection Systems for Detecting Malicious Code in the Network

Published: 28 February 2014

ID: G00255835

Analyst(s): Mario de Boer

Summary

Traditional malware protection proves increasingly unsuccessful to protect against some of the latest threats. Network-based malware protection systems are important components of advanced threat detection. This assessment focuses on the strengths and weaknesses of MPSs.

Table Of Contents

Summary of Findings

Analysis

  • Common MPS Functionality
  • Use Cases
  • Deployment
    • Sensor Deployment
    • Sandbox Deployment: Physical Appliance, Virtual Appliance or Cloud?
    • Performance and Throughput
  • Detection
    • Bad Reputation Will Make Malware Fail at Multiple Levels
    • Automated Triage
    • Static Detection Techniques
    • Dynamic Detection Techniques
    • Network Events: Callback Detection
  • Prevention
  • Response
  • The Importance of End-to-End Analysis and Remediation
  • Manageability and Usability
  • Market Landscape
  • Future Developments
  • Alternatives and Adjacent Technologies
  • Strengths
  • Weaknesses
  • Do Not Deploy MPS Before Optimizing Existing Malware Controls
  • Be Careful Not to Swamp an MPS With "Trivial Malware"
  • Perform an Extensive Proof of Concept
  • Plan for Analysis and Remediation Capacity, Expertise and Tools
  • Choose an MPS 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
  • Vendors
    • AhnLab
    • Check Point Software Technologies
    • Damballa
    • FireEye
    • Fortinet
    • General Dynamics Fidelis Cybersecurity Solutions
    • Joe Security
    • Lastline
    • McAfee
    • Norman Shark (Blue Coat)
    • Palo Alto Networks
    • RSA
    • Sourcefire (Cisco)
    • ThreatGRID
    • ThreatTrack Security
    • Trend Micro

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