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Ron Powell

Ron has a background in space physics, having worked as a Cassini team member analyzing plasmas trapped in Saturn’s magnetosphere. He now works for CircleCI in San Francisco as a developer advocate producing content that enables developers to build, test and deploy their projects faster.

Software engineering teams have always looked for ways to increase code creation efficiency, reduce code vulnerabilities and improve security processes. Many are now shifting security left, establishing security controls and testing — specifically integration testing — at an earlier phase in the software development lifecycle (SDLC). Developers are incorporating security monitoring and remediation practices as early as possible in development, rather than waiting for testing and quality assurance (QA) to find security issues.

Traditionally, security was separate from software development, with most software testing occurring right before deployment into production environments. This makes issues challenging to fix: You need to identify where specific problems exist in the code, remove the problematic code from your application and replace it with updated code, all without breaking the rest of the application that depends on the original, albeit incorrectly written, code.

In comparison, shift-left testing encourages software delivery teams to test code right after writing individual units of code. This not only helps with early bug and security problem detection, but also helps maintain the health of the software development lifecycle in all stages so that you can release secure, quality applications to market.

Early testing is especially important in software delivery pipelines based on continuous integration and continuous delivery (CI/CD), where developers aim to roll out application changes continuously. This reduces delays caused by software quality issues and also reduces end-to-end testing.

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We will look at some tools engineers can use to identify security issues early in the software development lifecycle, then tools to help engineer solutions for a more secure final product.

Identifying Security Issues

Engineers can use tooling to discover security issues early, often in real time as they write code. This includes static analysis tools, which scan as the engineer writes code, then flag any security issues in the engineer’s integrated development environment (IDE) or editor. That way, the engineer is aware of the issue immediately and can fix it right away.

Developers typically use static analytical methods to design and test components. In this instance, the code is not running or executed, but the tool itself executes using the source code as its input data.

Static code review software also helps developers understand structure and coding standards and implement their own coding standards. As developers push code directly into production, static code analysis also validates code quality, decreases later errors and reduces bugs. This upfront embedded approach to security also makes it easier and faster for the QA team to perform functional and performance testing later on.

Complement static code analysis with static secure code review. Security audits test the environment and coding practices security to ensure that developed apps are resilient to operational and environmental threats.

Dynamic analysis tooling runs an engineer’s code and probes it for security issues. These tools are dynamic because they need code to be in a running state. Their role is to analyze rather than test.

These tools analyze what is happening behind the scenes in the code the software is running, either in test cases or in operation. Engineers can analyze and identify potential issues arising during the application’s actual execution and that impacts its reliability. Dynamic code analysis tools help debug running threads and processes. They also highlight performance problems, memory use issues and memory leaks.

A modern CI/CD pipeline checks feature branches the engineer is working on and runs detailed scans to find any security issues. This uses more powerful static and dynamic analysis tools than the engineer can run locally. Vulnerability scans also check for security issues in all the container images and libraries the engineer uses to build the application.

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CI/CD pipelines check code for any security flaws continuously: during staging, during production, when the code is live or when the code deploys. This saves time and effort scanning and fixing bugs after release.

Engineering Security Solutions

Developers feel pressured to ship fast and often, and as a result, are loath to introduce tasks that slow their process. However, static code analysis identifies security problems early, including common security vulnerabilities identified by the Open Web Application Security Project (OWASP). This eliminates the costly and time-consuming task of fixing errors that appear downstream.

Fixing problems at the eleventh hour risks either delaying release dates or shipping code with errors and bugs passed to the end user. This may require emergency patching or even recalls in certain situations, contributing to a poor customer experience and loss of sales.

Software engineers can solve many security issues early in the development process if they have timely, automated feedback about what is wrong. The exact solution an engineer applies depends on the nature of the problem and how it was discovered.

Static analysis tooling tells the engineer exactly what code they need to change. However, dynamic analysis tools tell you what went wrong but not exactly why, making it challenging to prevent future occurrences. Still, sending early feedback to the developer shifts security to the left and forces software engineers to develop a beneficial security mindset.

You can integrate purpose-built security tools with existing DevOps practices, reducing the impact of adding another process. Security scans and checks trigger within an IDE when a pull request executes or as an additional step in secure CI/CD pipelines.

CI/CD tooling can run a complete battery of scans and analysis every time the engineer commits code to a feature branch, and the engineer gets a report of anything that went wrong so they can fix their code immediately. This rich and contextual information provides actionable insights, helping improve an organization’s overall security practices.

How Shift-Left Security Works

Say an organization practices engineer-led early security issue analysis and remediation. One day, a routine security scan finds a vulnerability in an image.

Read More:   Make SRE More Proactive by Shifting Left – InApps Technology 2022

When they see this alert, the engineer rolls forward to an updated version of the image and discovers where this breaks the code. They then build a solution that solves the breaking changes, but maintains the integrity and intention of the original code.

Just before production, this image vulnerability would be harder to detect and more challenging to fix. However, with this early scan in place, the developer was able to quickly fix the issue long before the software reached QA.


Shifting security left creates novel solutions to security issues, by exposing the problem to the engineers developing the app in real time. This enables the security team to work on other high-level priorities and provides an opportunity for developers to increase their knowledge and experience of good security in action, which is critical as many organizations struggle to fill security roles due to a lack of appropriately skilled staff.

By shifting security left, an organization can prioritize security as the responsibility of all team members rather than simply relying on those in security roles. It is an opportunity to audit and strengthen overall security practices within all areas. When enterprises maintain security requirements from early in the build phases, they enhance their agility, maintain their integrity and ensure the speedy deployment of secure applications.

CI/CD changes developer team culture. When it comes to developer team success, finding the right DevOps metrics to measure is crucial. Learn how to measure DevOps success with four key benchmarks for your engineering teams in the 2020 State of Software Delivery: Data-Backed Benchmarks for Engineering Teams.

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Source: InApps.net

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As a Senior Tech Enthusiast, I bring a decade of experience to the realm of tech writing, blending deep industry knowledge with a passion for storytelling. With expertise in software development to emerging tech trends like AI and IoT—my articles not only inform but also inspire. My journey in tech writing has been marked by a commitment to accuracy, clarity, and engaging storytelling, making me a trusted voice in the tech community.

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