Today’s digital economy has imposed an unprecedented pace of innovation on companies. The ability to rapidly develop, test and deploy new software has become one of the key drivers of competitive advantage. In response to this need, the DevOps philosophy was born, based on agile methodologies and automated CI/CD (Continuous Integration / Continuous Delivery) pipelines, which allows new features and fixes to be delivered in cycles of days or even hours, rather than months.
But this pursuit of speed has created a fundamental conflict with the traditional cyber security model. Classic security verification processes, such as the weeks-long, manual penetration tests conducted at the end of the development cycle, have become a bottleneck and a brake on innovation in this new, dynamic world. Development teams have come to view security as a cumbersome bureaucracy that slows everything down, and security teams as gatekeepers that always say “no.”
So how do you reconcile fire and water? How do you ensure a high level of security in the software you develop without losing the agility and speed that the business demands? The answer to this dilemma is DevSecOps - a cultural and technological evolution that integrates security into every phase of the software development lifecycle. However, philosophy alone is not enough. For DevSecOps to work in practice, you need tools that can work at the speed of developers. This article shows how automated security validation platforms, such as RidgeBot®, are becoming the “Easy Button” to make this vision a reality.
Shortcuts
- Why are traditional security tests failing in the CI/CD era?
- What is “Shift-Left Security” and why is it crucial for DevSecOps?
Why are traditional security tests failing in the CI/CD era?
To fully appreciate the revolution that automation brings, we must first understand why traditional manual-based testing models are fundamentally incompatible with the DevOps philosophy and pace. The problem lies in several key areas.
First, there is the problem of time and frequency. In a modern CI/CD process, new software versions (builds) can be created multiple times in a single day. Meanwhile, a comprehensive, manual penetration test of a web application is a process that typically takes one to several weeks. These two time scales are absolutely incomparable with each other. It is impossible to conduct a week-long test for each daily update. In practice, this leads to a situation where only selected “major” releases are tested, and dozens of smaller changes go into production without any security verification.
Second, there is the problem of cost and scalability. Outsourcing an external, manual penetration test for every new feature or patch is financially impossible for almost any organization. The cost of human expertise is high, and the availability of the best specialists in the market is limited. The global talent shortage in cyber security, estimated at millions of people, makes scaling security operations by simply hiring more people an unrealistic strategy.
Third, and perhaps most important, is the problem of delayed feedback. In the traditional model, developers find out about vulnerabilities in the code they have written, often weeks or even months after the fact, when they receive a report from external pentesters. At that point, the project context is already completely different, the team is working on new features, and the cost of fixing an “old” bug is many times higher. This requires going back to code that has already been mentally “closed”, re-understanding its logic, making corrections and running expensive regression tests. This is extremely inefficient.
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What is “Shift-Left Security” and why is it crucial for DevSecOps?
In response to these challenges, the concept of “Shift-Left Security” was born in the software development world. On the timeline of a development project, the “right side” is the deployment and maintenance phase, and the “left side” is the design and coding phase. Shift-Left therefore means incorporating testing and security practices as early as possible in the Secure Software Development Lifecycle (SSDLC).
This philosophy is based on a simple, economic premise: the earlier a bug or vulnerability is discovered, the cheaper and easier it is to fix it. A security bug found by the developer himself in his development environment, minutes after the code was written, is trivial to fix. The same bug, found by an external pentester in a production environment, generates huge costs in terms of the response process, emergency deployment of a fix and potential image damage.
The shift-left approach brings enormous benefits. In addition to the obvious cost reduction, it leads to fundamental improvements in the quality and security of the code itself. Developers, receiving rapid and regular feedback on their mistakes, learn and naturally begin to adopt safer coding practices. For them, security becomes not an external audit, but an integral part of their craft. Finally, by eliminating the long and unpredictable phase of security testing at the end of a project, it speeds up the entire release cycle and reduces the time to market (Time to Market).
Jednak aby “przesuwanie w lewo” było możliwe, proces testowania bezpieczeństwa musi zostać zautomatyzowany. Musi być on tak samo szybki, łatwy i zintegrowany z procesem, jak automatyczne testy jednostkowe czy funkcjonalne. I tu właśnie do gry wkraczają platformy takie jak RidgeBot®.
How to integrate RidgeBot® into the CI/CD pipeline in practice?
RidgeBot® was designed with modern automated environments in mind. It has a full-featured RESTful API that allows every aspect of its operation to be controlled from external systems such as CI/CD platforms (e.g. Jenkins, GitLab CI, Azure DevOps). As a result, automated penetration testing can become a natural, fully integrated step in the development pipeline.
Imagine what such an automated process looks like in practice:
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Code Commit: A developer completes work on a new feature and commits the code changes to a central repository (such as Git).
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Automatic Build: This event automatically starts a task in the CI/CD system. The system downloads the latest version of the code, compiles it and builds a new, ready-to-deploy version of the application.
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Automatic Functional Testing: After a successful build, the new version is automatically deployed on a dedicated test environment (staging), and then standard automated unit and integration tests are run on it to verify that the application works functionally correctly.
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Automated Security Test (RidgeBot Stage): If all functional tests are successful, a script in the CI/CD pipeline takes the next step. Via the API, it sends a command to the RidgeBot® platform to start testing the newly deployed application. The command passes the URL of the application and the name of the predefined test template (e.g., “Quick Web Application Scan” or “OWASP Top 10 Vulnerability Test”).
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Validation in Action: RidgeBot performs a fully autonomous penetration test within minutes or hours. It discovers an application’s attack surface, scans it for vulnerabilities, and then attempts to safely exploit them to verify the real risks.
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Return Result and Decision: Once the test is complete, RidgeBot, again via API, sends back the result to the CI/CD system. This result can be a simple status of “pass” (if no critical, verified risks were found) or “fail” (if such risks were confirmed). In case of failure, the build process is automatically stopped (known as “breaking the build”). The CI/CD system can be configured to automatically create a task (ticket) in JIRA for the development team, with a link to a detailed report in RidgeBot that shows the exact attack path and remediation recommendations.
Thanks to such a loop, the developer receives feedback on the security vulnerability he has created within just a few hours of writing the code, allowing him to fix it immediately and cheaply.
What benefits does automated validation bring to the software development process?
Integrating automated security validation into the DevSecOps process brings benefits that go far beyond security alone. It’s an investment in the quality, efficiency and speed of the entire software development process. A platform like RidgeBot, in addition to the aforementioned shortening of the feedback loop, offers a number of unique advantages in this context.
First of all, it delivers results based on real risks. Developers are not inundated with hundreds of theoretical vulnerabilities that are difficult for them to understand. They receive a short list of specific, verified problems, backed up by evidence in the form of an attack path. This allows them not only to quickly fix the bug, but also to understand what it was based on, which has great educational value.
Moreover, the platform is easy to use and does not require developers to be security experts. They can initiate tests and analyze the results using a simple GUI or API, without the need for specialized knowledge of hacking techniques. This lowers the barrier to entry and makes security accessible to the entire team, not just a small group of specialists.
At nFlo, we understand that in the modern digital economy, speed of innovation is key. However, we believe that it cannot come at the expense of security. As a Ridge Security partner, we promote solutions that reconcile these two worlds, building security into the DNA of the development process rather than treating it as ballast.
Does your development team see security as a bottleneck that slows down innovation? Do you want to implement a shift-left philosophy, but lack the tools to do so in an automated and scalable way? The RidgeBot® platform is an “easy button” for DevSecOps to integrate advanced penetration testing into your CI/CD cycle. Contact the nFlo team to schedule a demonstration. We’ll show you how RidgeBot can be integrated into your development tools and ensure that every line of code is more secure, without sacrificing the speed your business requires.
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