Cisco Vulnerability Management Peapod, Llc

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Kenna Security Case Study

Peapod, Llc

Introduction

This case study of Peapod, LLC is based on an October 2019 survey of Kenna Security customers by TechValidate, a 3rd-party research service.

“Leaders have a way to see our posture in one view. If they require more details they can drill down into each Risk Meter for the desired info.”

Challenges

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

Vulnerability management challenges they experienced that led them to implement the Kenna Security Platform:
- Too many vulnerabilities with no way to effectively prioritize
- High volume of security data lacking context for decision making
- No way to quantify or measure risk from vulnerabilities
- Inefficiencies in vulnerability remediation

Use Case

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

Approaches used to prioritize vulnerabilities prior to Kenna:
- Use rating system from scanner
How they evaluate the success of their Kenna Security platform implementation:
- Reduction in Mean Time To Remediate (MTTR)
- Kenna risk score reduction
- Reduction in vulnerability investigation time
- Reduction in IT remediation time
- SLA Adherence
- Reduction in reporting time
Kenna’s primary advantage(s) over other vulnerability management platforms:
- Kenna goes beyond basic risk scoring and tells them what they need to fix first
- Kenna provides meaningful and actionable data for remediation (remediation intelligence)
- Kenna provides awareness of how much risk is in their environment
- Kenna is updated continuously with real-time information

Results

The surveyed company achieved the following results with Kenna Security:

Reduction of time spent on the following activities, since using Kenna:
- time spent on Vulnerability Investigation: over 75%
- time spent on remediation: over 75%
- time spent on reporting: over 25%

About Kenna.VM

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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