TechValidate Research on Cisco Secure Network Analytics


Stealthwatch Case Study

Fortune 500 Construction Company

Introduction

This case study of a Fortune 500 construction company is based on a March 2018 survey of Stealthwatch customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“Cisco Stealthwatch provides excellent visibility into the network traffic passing through our NetFlow collectors. It helps us to understand what hosts are talking with each other, the data volume, data rate and NetFlow duration for each conversation, as well as what applications were used. In other words, it provides us much-needed information about the traffic is transiting our networks.”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select Stealthwatch:

  • Faced the following challenges before their network visibility and security analytics solution:
    • Lack of visibility into a complex network with branches, IoT devices, remote employees and guests, cloud infrastructure
    • Protecting sensitive data
    • Detection of insider threats
    • Real-time malware detection
    • Threat mitigation

Use Case

The key features and functionalities of Stealthwatch that the surveyed company uses:

  • Uses Stealthwatch to gain visibility into:
    • Data centers
    • Application usage
    • Virtualized infrastructure

Results

The surveyed company achieved the following results with Stealthwatch:

  • Uses Stealthwatch to:
    • Detect and prioritize advanced malicious attacks and insider threats in real-time
    • Investigate the source of the threat through network audit trails
    • Mitigate threats using the existing network infrastructure
    • Gain visibility into what devices, users and applications are using the network




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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