Top 5 Metrics to Consider For Your Shift Left Strategy
Introduction
Imagine running a business without knowing if you're winning or losing. Scary, right? That's where measuring techniques like KPI and Metrics come in. They're the dashboard lights that tell you how your business or a specific strategy is performing. Without them, you're essentially driving blind. Keeping an eye on these metrics and taking action gives you a clear understanding if your selected strategy is working or not, helping you steer in the right direction. They're not just numbers; they're the story of your business's success.
In our last article - “What is Shift Left Security?”, We understood in-depth the definition of shift left security, its working, implementation considerations, challenges, best practices, and types of available tools. Today, in this blog, we will introduce you to the top revised and trusted five metrics that you can consider to validate if your shift-left security investments are working or not.
Security is a journey, not a destination! To ensure you're moving in the right direction, these metrics can provide valuable insights into your shift left security strategy's effectiveness.
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Vulnerability Detection Rate
This metric measures the number of vulnerabilities identified early in the development lifecycle compared to those found in later stages. A higher rate indicates effective shift-left practices as vulnerabilities are caught before they become more costly to fix.
To dig a little deeper and take a closer look, organizations can focus on the following.- Early vs. Late Findings: Break down the vulnerability detection rate into early (e.g., design, development) and late (testing, production) stages. A high percentage of vulnerabilities found early indicates effective shift-left practices.
- Vulnerability Severity: Analyze the types of vulnerabilities that were detected early in the process. If the majority are high-severity issues, it suggests that there is a significant impact from shift-left initiatives.
- False Positive Rate: A high false positive rate can hinder developer productivity. Monitoring the accuracy of your security tools can help you ensure they are effectively identifying genuine vulnerabilities.
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Mean Time to Remediation (MTTR)
MTTR tracks the average time taken to fix a vulnerability from its discovery to its resolution. A decreasing MTTR reflects improved efficiency in addressing security issues, indicating successful implementation of shift-left principles.
MTTR demands comprehensive analysis for which we recommend the following steps.- Remediation Timeframes: Break down MTTR by vulnerability severity. High-severity vulnerabilities should have shorter MTTRs.
- Remediation Efficiency: Analyze the efficiency of remediation efforts, including factors like developer availability, tool support, and process improvements.
- Remediation Backlogs: Track the number of outstanding vulnerabilities and the reasons for delays. This helps you understand the potential bottlenecks that teams are facing in the remediation process.
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Developer Security Training Completion Rate
This metric measures the percentage of developers who have completed security training. A high completion rate suggests a strong emphasis on security awareness and knowledge within the development team.
To get sound qualitative insights, organizations can try and follow the below practices.- Training Effectiveness: Measuring the impact of training through surveys or assessments helps in evaluating the knowledge retention and application of learned skills.
- Training Relevance: Ensure training content aligns with the specific vulnerabilities that were encountered in the development process. This indirectly also updates your training resources and achieve our next practice.
- Continuous Learning: Encourage ongoing security training and certifications to maintain a skilled workforce.
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Secure Coding Practices Adherence
By analyzing the frequency of secure coding violations detected through code reviews or static analysis tools, you can gauge the effectiveness of your efforts to instill secure coding practices within the development team. A decreasing rate of violations indicates improved adherence to security guidelines.
To dive deeper and understand more about secure coding practices adherence, the below steps should be helpful.- Code Review Effectiveness: Analyze the quality of code reviews to identify areas for improvement in identifying security vulnerabilities.
- Common Vulnerabilities: Track the frequency of specific vulnerability types (e.g., SQL injection, cross-site scripting) to identify patterns and focus training efforts accordingly.
- False Negative Analysis: Evaluate cases where vulnerabilities slipped through code reviews to understand the reasons and improve the review process.
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Security Tool Usage
Tracking the adoption and usage of security tools like SAST, DAST, and SCA within the development workflow reveals how effectively these tools are integrated into the process. Increased tool usage signifies a stronger shift-left culture and better utilization of available security resources.
Who does not want to improve their ROI? Check out these practices that could help you get started.- Tool Adoption Rates: Measure the percentage of development teams who are using security tools. If your tool adoption rate is low, this might be an indication of usability issues or a lack of awareness.
- Tool Integration: Assess the integration of security tools into the development workflow. Tools that seamlessly get integrated into your organization’s development process are more likely to be used effectively.
- Tool Effectiveness: Evaluate the accuracy and efficiency of security tools in detecting vulnerabilities. Tools with high false positive or false negative rates might require adjustments or replacement.
By delving deeper into these metrics and practices shared above, organizations can gain a more comprehensive understanding of the effectiveness of their shift-left security program and enable themselves to identify areas for improvement.