How to Secure Your CI/CD Pipeline: Best Tips and Practices

CI/CD pipelines have become a cornerstone of agile development, streamlining the software development life cycle. They allow for frequent code integration, fast testing and deployment. 

Having these processes automated help development teams reduce manual errors, ensure faster time-to-market, and deliver enhancements to end-users. However, they also pose risks that could compromise stability of their development ecosystem.

This article will go over some common CI/CD pipeline security issues and how to effectively overcome them. Plus, learn how to identify vulnerabilities early in development to fully protect your organization’s data health. 

CI/CD pipeline security risks

There are different threats that could impact your CI/CD pipeline. Such vulnerabilities can be determined and understood based on your pipeline design. Here’s some common CI/CD security risks to watch out for:

  1. Insecure CI/CD pipeline configuration

Configuring a CI/CD pipeline securely is the first step to reducing risk to your data. While your setup will depend on which tools you use in the pipeline, there are best practices to securing the configuration, such as:

  • Restrict access control and permissions ensure unauthorized users cannot  access or manipulate critical components of your data. 
  • Know your CI/CD pipeline settings to protect you against bad actors. For example, setting your people to avoid insecure storage or network configurations will keep your pipeline from being exposed to external threats.
  • Set your code repositories to block unauthorized access, modification, or source code leakage.
  • Integrate external services securely, including cloud platforms, deployment targets and third-party tools.
  1. Insecure code

Code vulnerabilities typically stem from using deprecated or insecure libraries. Bad actors can exploit these vulnerabilities to gain unauthorized access to software, inject malicious code, or execute arbitrary commands.

If undetected in the CI/CD pipeline, insecure code leaves your system vulnerable to data breaches, unauthorized access, and ransomware attacks that disrupt your software functionality. 

  1. Poisoned pipeline execution

Poisoned pipeline execution is a security risk in CI/CD pipelines where an attacker introduces malicious or compromised code, deploying unauthorized or harmful software components. This can happen at any pipeline stage, including in code repositories, build processes, testing, or deployment environments. 

A common attack vector is to modify CI configuration files, adding additional commands to execute code in the CI stage. Once shipped code is executed, attackers can access secrets, ship malicious code, and access private servers or hosts.

  1. Exposure of secrets

CI/CD pipelines can inadvertently expose secrets, such as API keys, database credentials, or encryption keys, leading to severe security breaches if obtained by malicious actors. Secrets can be exposed through:

  • Configuration files committed to version control or openly shared.
  • Environment variables misconfigured or mistakenly exposed in logs or error messages.
  • Build logs that are not adequately sanitized or redacted.
  • Pipeline output artifacts such as executable binaries or container images.

    5. Breaches in test environments

Test environments sometimes receive a different level of security attention than production environments. They can contain unpatched systems, misconfigured security controls or other vulnerabilities to be exploited.

Breaches in test and development environments can also provide an entry point for bad actors. These external forces could gain unauthorized access and compromise the CI/CD pipeline components. 

How to secure your CI/CD pipeline

Implementing pipeline security measures will mitigate CI/CD errors and risks listed above. Having a secure CI/CD pipeline lets you maintain integrity as data moves through your pipeline. 

Furthermore, each CI/CD pipeline is unique and should include custom security measures, processes and tools. Here’s how to secure yours:

  1. Enable observability to map threats

CI/CD security can be enhanced using a full-stack observability platform to monitor pipeline behavior. Observability platforms can provide out-of-the-box visibility and insights into the security posture of the pipeline, helping DevOps teams understand where vulnerabilities exist. 

Observability tools build processes, test environments and deployment stages. Logs containing valuable security information, such as access attempts, system events or errors, are collected and parsed for real-time security analysis. 

These tools can then detect and alert DevOps teams of security incidents, anomalies, or unauthorized activities. A comprehensive audit trail can also be established to help organizations meet regulatory requirements and adhere to security policies. 

2. Employ tight access control

Use tight access control in CI/CD pipelines so that only authorized individuals and processes can access critical components. Here are some ways to make sure access control is set up securely:

  • Grant users and processes only the permissions necessary to perform specifically assigned tasks in the CI/CD pipeline. Permissions may be abused or compromised, so limit what could be accessed if an attack does occur.
  • Implement robust authentication mechanisms at all CI/CD pipeline points, such as multi-factor authentication or secure single sign-on. Use role-based access control to assign appropriate authorization to different user roles based on their needs.
  • Utilize secure credentials management using a trusted system like a key management system. Use strong password policies for read access. Regularly review and, when needed, revoke user and process access.
  • Using machine-learning-enabled observability tools, continuously monitor for unauthorized access attempts, abnormal activities, and unusual code behavior.

3. Use source composition analysis tools

Source Composition Analysis (SCA) is a security practice that analyzes and evaluates source code composition and dependencies within software applications. SCA identifies and manages the security risks associated with third-party and open-source components used in an application’s codebase.

SCA can identify any known vulnerabilities, licensing issues, or other security concerns that may arise from using third-party code. The tool examines the software’s dependencies, libraries, frameworks, and other external components to assess their security posture. Open-source and proprietary tools are available in CI/CD security implementations.

4. Enforce security policies

Security policies should be clearly defined and enforced for the CI/CD pipeline and software in general. These policies ensure the software is set up and maintained effectively to limit security exposures before they need to be detected in the CI/CD pipeline.

Remember security policies should cover everything from access control and coding best practices to vulnerability and risk management.

Test Automation Tools to Accelerate CI/CD

So much of our world has moved away from the slow and methodical, towards the agile and iterative. In transport, for example, everything is “on demand”, constantly changing and adaptable. The same is true for developers. With movements and philosophies such as CI/CD solutions, everything is about moving quickly, yet smartly.

Test automation is an integral part of this development philosophy. We’ll take a look at 3 popular test automation tools, and help you decide which one is the right fit for your organization.

The Importance of Test Automation

Before we jump into the 2 testing tools, a quick note on the importance of test automation. Automated testing frameworks can “help quality assurance engineers define, execute, and automate various types of tests that can help development teams know whether a software build passes or fails.” In the CI/CD environment, test automation literally becomes part of the continuous flow and cycles of development.

Let’s take a look at the 3 platforms:

Test.ai

Test.ai is a machine learning-based platform that has been trained to recognize common user scenarios and execute test cases. The platform leverages AI to identify the various screens and elements in your app, and to execute user scenarios to enable you to test on-demand whenever you’re ready. It also recognizes elements, so that things don’t break even when they change.

Test.ai is relatively quick and easy to set up, requires no programming knowledge for more basic functions, and the platform can execute tests even when the user interface or certain flows in the app change.

Even though the company has been around since October 2015, and has raised around $17m, there is a definite lack of quality peer reviews available. This is concerning as most companies of this size would have multiple reviews available, from different companies and roles, giving an indication of the level of robustness of the solution, as well as insights into which types of projects the platform is better suited to.

Test.ai claim “larger unnamed partners that ‘make app stores’ or devices…working at the stratospheric level having to verify tens of thousands of apps to ensure that everything is in working order”.

Testcraft.ai

Testcraft bills itself as “codeless Selenium with ai maintenance”, for automated manual testing with no framework or maintenance. It is primarily a platform for web apps, and is a complete SaaS solution, with a shallow learning curve (and no coding required).

Its automation platform includes regression and continuous testing capabilities, a drag-and-drop interface, and the ability to run tests on multiple browsers and work environments at the same time. TestCraft promises faster test creation, execution, and maintenance, through its dynamic test model that can be updated to reflect changes to your app. Its interface is simple and easy to use.

Areas, where there could be an improvement, are an occasional lack of responsiveness, some issues with urls from outside of the app itself, changing datasets can be confusing, and there are quite a few bugs that still need to be ironed out.

Testim.io

Testim.io leverages machine learning for the authoring, execution, and maintenance of automated test cases. The platform uses dynamic locators and learns with every execution. The outcome is super fast authoring and stable tests that actually learn and improve, eliminating the need to continually maintain tests with every code change.

Well known companies such as Netapp, Verizon Wireless, Wix.com, and others run over 500,000 tests every month using Testim.io. The platform has gained acclaim for significantly shortening the time from development to production, to minutes in some cases. It allows the testing of new features with full regression test coverage. Test stability is known to be high, with easy-to-understand results. The platform is also easy to connect to your chosen CI and discover and fix bugs, with helpful screenshots along the way. Customer support is known to be excellent.

But, there are some issues that have been brought up for improvement, such as image verification, but these are being dealt with according to company communications, and barely detract from what is otherwise an excellent product.

Comparison

Most reviews conclude with some form of a “we cannot recommend one product, it all depends on your needs”. In this case, however, we have found testim.io to be a top performer in most categories, and feel compelled to recommend it.

This choice is further enhanced by the numerous positive reviews and big names using the platform.

Continuous Improvement

When it comes to continuous integration and continuous delivery, areas like automated testing and automated log insights become essential, integrated tools – not merely welcome additions.

For machine learning-powered log analytics, look no further than Coralogix. With Coralogix, you get virtually endless seamless integrations, dashboards and live streams, view hours of data in seconds and get automated insights into any log issues. CI/CD has found the perfect log partner.