TechValidate Research on Cisco Secure Network Analytics


Case Study: Toronto 2015 Pan American / Parapan American Games

Introduction

This case study of TORONTO 2015 Pan American / Parapan American Games is based on a August 2015 survey of Cisco Stealthwatch customers by TechValidate, a 3rd-party research service.

Challenges

  • Stealthwatch has helped improve the following:
    • Network baselining
    • Network segmentation
    • Real-time threat detection
    • Overall security posture
    • Network troubleshooting
    • Capacity planning

Use Case

  • Stealthwatch has helped with:
    • Insider threats
    • Malware/zero-day attacks
    • DDoS attacks
    • Network performance
    • Network segmentation
  • Is able to secure the following with Stealthwatch:
    • The data center
    • Areas of my network I could not see previously
    • Remote locations

Results

  • Reduced their network and security troubleshooting time by minutes.
  • Stealthwatch System has helped their organization achieve the following:
    • Greater network visibility
    • Heightened threat intelligence
    • Increased application awareness
  • Found the following Stealthwatch capabilities to be the most beneficial:
    • Sophisticated security analytics/behavioral analysis
    • Context awareness (user, application, device data)
    • Detection of lateral movement (East-West Traffic)
    • Scalability
  • Compared to other security vendors, Cisco is:
    • Effective at detecting attacks
    • Innovative
    • Easy to use
    • Easy to integrate with other security technologies
  • Stealthwatch enables the company to:
    • Better manage security with limited staff/resources
    • Accelerate threat detection and mitigation
    • Gain pervasive network visibility
    • Foster cross-team collaboration within the IT department




About This Data

This data was sourced directly from verified users of Cisco Secure Network Analytics by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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