GITNUX MARKETDATA REPORT 2023
Must-Know Cyber Security Dashboard Metrics
Highlights: The Most Important Cyber Security Dashboard Metrics
- 4. Rate of false positives
- 5. Rate of false negatives
- 6. Patching status
- 7. Number of vulnerabilities
- 8. Severity of vulnerabilities
- 9. Incident classification
- 10. User awareness training completion rate
- 11. Risk exposure
- 12. Cost per incident
- 13. Number of attempted attacks
- 14. Intrusion detection/prevention effectiveness
- 15. Compliance status
- 16. Infection rate
- 17. Data breach frequency
Table of Contents
Cyber Security Dashboard Metrics: Our Guide
Understanding the intricacies of cyber security isn’t just for tech gurus anymore – it’s a must for businesses in today’s digital world. This blog post delves into the essential metrics that should be on every organization’s cyber security dashboard. Arm yourself with knowledge about these key indicators to proactively safeguard your online assets, detect threats in real time, and keep your systems running smoothly.
Number Of Incidents
This metric tracks the total number of security incidents detected in a given period, helping organizations understand the volume of threats they face.
Time To Detect
Average threat detection time: From entry to detection. Shorter times signal better detection.
Time To Respond
The average time taken to respond to a security incident from the moment it’s detected until the issue is resolved or mitigated. Faster response times minimize potential damage.
Rate Of False Positives
False positive rate: % of total alerts misidentifying benign activity as threats. High rates waste resources and misguide focus.
Rate Of False Negatives
The percentage of total threats that are missed by the security system or classified as benign. A high rate indicates an ineffective security system.
Patching Status
The percentage of systems with the latest security patches deployed. A higher percentage reduces vulnerabilities.
Number Of Vulnerabilities
Total number of known security vulnerabilities detected in your network. A higher number represents greater risk.
Severity Of Vulnerabilities
The distribution of detected vulnerabilities by their severity level (eg,., critical, high, medium, low). The higher the severity, the greater the risk.
Incident Classification
The distribution of security incidents by their type or category, such as malware, phishing, or insider threats.
User Awareness Training Completion Rate
The percentage of employees who have completed relevant cybersecurity training, which can help reduce the likelihood of successful social engineering attacks.
Risk Exposure
An assessment of the organization’s potential loss in case of a security breach, considering factors such as data sensitivity, reputation damage, and financial impact.
Cost Per Incident
The average estimated cost incurred for each security incident, including investigation, containment, and recovery efforts.
Number Of Attempted Attacks
The total number of attempted cyber attacks on your network, regardless of whether they were successful or not.
Intrusion Detection/Prevention Efficacy
This metric represents the percentage of detected intrusions that were successfully blocked or mitigated by security systems.
Compliance Status
The percentage of compliance with relevant regulations and cybersecurity standards, such as PCI DSS, GDPR, or HIPAA.
Frequently Asked Questions
What is the main purpose of using Cyber Security Dashboard Metrics?
Which key metrics are essential to include in a Cyber Security Dashboard?
How do Cyber Security Dashboard Metrics help organizations in identifying and addressing vulnerabilities?
Can Cyber Security Dashboard Metrics help in improving overall organizational security?
How often should the Cyber Security Dashboard be updated or reviewed?
How we write these articles
We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.