TechValidate Research on Cisco Vulnerability Management


Kenna.VM Case Study

HSBC, USA

Introduction

This case study of HSBC USA Inc. is based on a September 2020 survey of Kenna.VM customers by TechValidate, a 3rd-party research service.

On working with CX Team:“knowledgeable and very helpful. Working with their engineers is always a productive experience”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select Kenna.VM:

  • The vulnerability management challenges they were experiencing that led them to implement the Kenna.VM:
    • Too many vulnerabilities with no way to effectively prioritize
    • High volume of security data lacking context for decision making

Use Case

The key features and functionalities of Kenna.VM that the surveyed company uses:

  • The approach they used to prioritize vulnerabilities prior to Kenna:
    • A homegrown prioritization tool
  • They best describe their current engagement model between the Security and IT team as Security and IT work together to investigate and prioritize.
  • The criteria they use to evaluate the success of your Kenna.VM implementation:
    • Reduction in Mean Time To Remediate (MTTR)
    • Kenna risk score reduction
    • Reduction in reporting time

Results

The surveyed company achieved the following results with Kenna.VM:

  • Before Kenna vs. After Kenna: Have you seen a reduction in time spent on the following activities? (Security and IT team time combined)
    • time spent on Vulnerability Investigation: 25 – 50%
    • time spent on remediation: 25 – 50%
    • time spent on reporting: 25 – 50%
  • Kenna’s primary advantage(s) over other vulnerability management platforms:
    • Kenna provides awareness of how much risk is in our environment
    • Kenna aggregates data and reporting from multiple tools (vuln scanners, CMDB, discovery)
    • Kenna’s cloud platform scales elastically to virtually any organization size
  • Rates the following for Kenna.VM compared to other vulnerability management solutions:
    • remediation Intelligence (guidance on “what to fix first”): on par
    • integrated real-time global exploit intelligence: on par
    • data science-based risk scoring methodology: on par
    • “Off the shelf” integrations with a wide range of security data sources: superior
    • predictive vulnerability modeling: superior




About This Data

This data was sourced directly from verified users of Cisco Vulnerability Management 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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