Must-Know Devsecops Metrics

Highlights: The Most Important Devsecops Metrics

  • 1. Vulnerability detection rate
  • 2. Time to resolve vulnerabilities
  • 3. Mean time to detect (MTTD)
  • 4. Mean time to respond (MTTR)
  • 5. Percentage of code coverage
  • 6. Compliance status
  • 7. Security training completion rate
  • 8. Patch management success rate
  • 9. Incident response plan effectiveness
  • 10. Security risk assessment completion rate
  • 11. Security debt
  • 12. False positive/negative rates
  • 13. Percentage of builds with security testing
  • 14. Security test pass rate
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Securing an organization’s infrastructure and applications is critical in today’s digital landscape. DevSecOps integrates security into the DevOps pipeline for comprehensive coverage. This blog post covers essential DevSecOps metrics for continuous improvement and risk mitigation. Explore key indicators to quantify performance and make data-driven decisions for the future.

Devsecops Metrics You Should Know

1. Vulnerability detection rate

This metric measures the number of new vulnerabilities detected over a set period. It helps to assess the effectiveness of security measures and identify areas for improvement.

2. Time to resolve vulnerabilities

This metric measures the average time taken to resolve identified vulnerabilities. Shorter resolution times indicate a more efficient and responsive DevSecOps process.

3. Mean time to detect (MTTD)

This metric indicates the average time it takes to detect a security threat. A shorter MTTD suggests that the security monitoring and detection mechanisms are more effective.

4. Mean time to respond (MTTR)

This metric represents the average time taken to respond to a security incident once it has been detected. A shorter MTTR indicates a more efficient incident response process.

5. Percentage of code coverage

This metric measures the proportion of the codebase covered by automated testing. Higher code coverage indicates a more extensive and thorough testing process, leading to more secure applications.

6. Compliance status

This metric tracks the compliance of the software with relevant regulations, standards, and best practices. Higher compliance rates suggest a strong focus on building secure and compliant products.

7. Security training completion rate

This metric measures the proportion of staff who complete ongoing security training. A higher completion rate indicates a culture of security awareness and commitment to maintaining secure practices.

8. Patch management success rate

This metric tracks the proportion of successful security patches applied to software systems. A higher success rate suggests effective patch management processes, reducing the risk of known vulnerabilities being exploited.

9. Incident response plan effectiveness

This metric evaluates the success rate of incident response plans when addressing security incidents. A higher effectiveness rate indicates a well-prepared team with robust processes in place.

10. Security risk assessment completion rate

This metric measures the proportion of security risk assessments completed for existing systems and new projects. A higher completion rate suggests a commitment to proactively identifying and addressing security risks.

11. Security debt

This metric tracks the accumulation of unresolved security issues, vulnerabilities, or technical debts in a software system. A lower security debt indicates better overall code quality and security maintenance.

12. False positive/negative rates

This metric evaluates the accuracy of security tools and processes by measuring the rates of false positives (incorrectly identifying issues as security threats) and false negatives (missing genuine threats). Lower rates indicate more effective security measures.

13. Percentage of builds with security testing

This metric measures the proportion of builds that include security testing. A higher percentage suggests that security is integrated into the application development process.

14. Security test pass rate

This metric tracks the rate at which security tests pass without any issues during the development cycle. Higher pass rates indicate that applications are meeting defined security requirements consistently.

Devsecops Metrics Explained

DevSecOps metrics ensure software development security, compliance, and effectiveness. Metrics such as vulnerability detection rate, time to resolve, and mean time to detect/respond assess efficiency and responsiveness. Code coverage, compliance, security training, and patch management provide insights into security quality. Incident response, risk assessment, security debt, and false positive/negative rates evaluate preparedness and effectiveness. Security testing builds and test pass rates gauge integration and consistency. These metrics create a holistic view, enabling continuous improvement and strengthening security.


In summary, DevSecOps metrics play a crucial role in evaluating and improving the effectiveness of an organization’s development, security, and operations approach. By measuring essential aspects such as deployment frequency, change lead time, mean time to restore, and change failure rate, businesses can better understand their DevSecOps capabilities and identify areas in need of improvement. Furthermore, paying attention to security metrics ensures the seamless integration of security aspects at every stage of software development. This leads to an overall reduction in potential cybersecurity risks and ensures faster, more efficient, and secure delivery of applications. In the rapidly evolving technological landscape, adopting and analyzing DevSecOps metrics is an indispensable practice for organizations to stay ahead, thrive, and maintain a strong security posture.



What is DevSecOps, and how does it differ from traditional DevOps?

DevSecOps is the integration of security practices into the DevOps process. It aims to ensure that security is a continuous focus throughout the development, deployment, and operations lifecycle rather than being an afterthought. Traditional DevOps focuses on the collaboration between developers and operations teams to streamline and automate processes, whereas DevSecOps adds an emphasis on security practices as an intrinsic part of the entire process.

Why are metrics important in the DevSecOps process?

Metrics provide a measurable way to evaluate the progress and effectiveness of the processes within DevSecOps. They help identify areas of improvement, streamlining, and potential risks that need to be addressed. Metrics enable organizations to make informed decisions and adjustments to their security strategies, ultimately leading to a more secure and efficient development lifecycle.

What are some examples of critical DevSecOps metrics that organizations should track?

Some critical DevSecOps metrics include Mean Time to Detect (MTTD) security vulnerabilities, Mean Time to Remediate (MTTR) security vulnerabilities, percentage of code changes with security tests, number of vulnerabilities detected per code version, and percentage of security fixes successfully deployed in the first attempt. These metrics offer insights into the speed and effectiveness of an organization’s response to security threats and its overall security posture.

How can automation play a role in improving DevSecOps metrics?

Automation can contribute to improved DevSecOps metrics by streamlining and accelerating various processes, such as code scanning, vulnerability detection, and patching. By automating routine tasks, organizations can focus on proactively addressing potential security risks and developing secure code right from the start, which leads to faster identification and remediation, reduced risks, and a more efficient development process.

How should organizations use DevSecOps metrics to foster a security-centric culture?

Organizations can utilize DevSecOps metrics to educate and engage all stakeholders, including developers, operations, and security teams. Sharing metrics and visualizing progress helps create a culture that values security as an integral part of the development process. By discussing the metrics and their implications regularly, team members can become more aware of security best practices, the importance of addressing vulnerabilities, and each member's role in contributing to a more secure application lifecycle.

How we write our statistic reports:

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 Process.

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