Cisco Vulnerability Management State & Local Government

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Kenna.VM Case Study

State & Local Government

Introduction

This case study of a state & local government is based on an October 2020 survey of Kenna.VM customers by TechValidate, a 3rd-party research service. The profiled organization asked to have their name blinded to protect their confidentiality.

“Kenna is the market leader in vulnerability management.”

Challenges

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

The vulnerability management challenges they were experiencing that led them to implement the Kenna.VM:
- N/A

Use Case

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

The approach they used to prioritize vulnerabilities prior to Kenna:
- CVSS 10+
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:
- N/A

Results

The surveyed organization 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: 1 – 10%
- time spent on remediation: 10 – 25%
- time spent on reporting: 10 – 25%
Kenna’s primary advantage(s) over other vulnerability management platforms:
- Kenna is updated continuously with real-time information
Rates the following for Kenna.VM compared to other vulnerability management solutions:
- remediation Intelligence (guidance on “what to fix first”): superior
- integrated real-time global exploit intelligence: inferior
- data science-based risk scoring methodology: superior
- “Off the shelf” integrations with a wide range of security data sources: on par
- predictive vulnerability modeling: superior

About Cisco Vulnerability Management

Cisco Vulnerability Management (formerly Kenna.VM) offers an effective, efficient way to reduce your risk profile using risk-based prioritization powered by data science. Rely on it to ID the vulnerabilities that put you at the greatest risk, create a self-service environment for remediation teams, set intelligent SLAs based on your risk tolerance, compare your risk posture against industry peers, deliver clear reports with intuitive metrics, and more.

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