Software quality and security are closely connected. Even with a perfect UI, a software application isn’t safe to deploy until teams have validated it against potential cyberattacks. Otherwise, stakeholders’ and customers’ data can be at risk, and threat actors may gain unauthorized access to it, steal it, and misuse it, leading to lawsuits, fines, and reputational loss. Despite these risks, many development teams still treat security as a final stage in the app development process, something to address after building core functionality.
QA security testing is one part of a broader secure development strategy designed to prevent these problems. It involves evaluating software for exploitable weaknesses using a combination of techniques, including code review, static analysis, and penetration testing, to assess its resilience to misuse and attack. It also encourages teams to build security validation into the development process rather than at the end. That way, they can detect vulnerabilities earlier and reduce remediation risks and costs.
This guide explains what QA security testing is, where it fits in the software development lifecycle (SDLC), how teams apply it in practice, and what distinguishes it from traditional QA approaches. You’ll also learn how tools like Kiuwan support QA security testing workflows.
Quality assurance (QA) security testing involves QA, development, and security teams validating that software meets cybersecurity and quality standards. It involves evaluating software for vulnerabilities, unsafe behavior, and security weaknesses so teams can reduce the risk of unauthorized access, data exposure, and data breaches.
Increasingly, QA teams participate in security-focused validation rather than leaving it to dedicated security specialists at the end of the SDLC. Because modern applications are now more complex than ever, organizations have found that waiting for a separate security review late in the process can create bottlenecks and increase the cost of fixing issues that are found. That’s why organizations should integrate security testing earlier in the SDLC to address these problems, so it’s a standard part of secure software development rather than a final checkpoint.
Organizations can no longer afford to see security testing as an afterthought for several reasons.
Security issues rarely appear out of nowhere during deployment. They are usually introduced during development through insecure code patterns, flawed logic, or overlooked cases. When teams identify these issues during design or development, they significantly reduce the effort and cost required to address them. That’s because a fix in these early stages may only require changing a few lines of code and running automated tests.
Attack methods evolve constantly. AI tools can make some attack techniques more accessible and scalable, which increases pressure on teams to validate software more thoroughly. Additionally, the security implications of AI-assisted development workflows, including practices like vibe coding, are still being understood, and new vulnerability patterns are emerging faster than testing strategies can formally address them.
Given how rapidly the threat landscape is changing, QA security practices must evolve alongside it to keep stakeholders and assets protected.
Besides longer, more expensive remediation, security failures can cause data exposure, which, in many jurisdictions, violates laws and can lead to heavy fines. For example, the EU’s General Data Protection Regulation (GDPR) can fine violators up to 20 million euros or up to 4% of the annual worldwide turnover of the preceding financial year, whichever is greater. Additionally, security failures can cause customers and the public to lose trust in the organization, leading to fewer purchases and negative word of mouth.
Further, delayed remediation increases technical debt and remediation costs over time. Technical debt refers to the accumulated cost of unresolved issues and deferred fixes in a codebase.
Although both are essential to software quality, QA security testing differs from traditional QA testing in several important ways.
Traditional QA testing often focuses on functional and non-functional validation, which verifies that a system meets the requirements specified during the design phase. Its main purpose is to ensure that the features behave properly under normal conditions, are user-friendly, and work efficiently under expected workloads. In contrast, security testing evaluates the app under hostile conditions to verify its ability to withstand cyberattacks, unauthorized access, misuse, and other malicious activity.
Another difference is how traditional QA testing validates behavior, checking whether things are working the way they should. As such, traditional QA processes may miss security risks if security validation is not built into the test strategy.
Meanwhile, QA security testing specifically identifies risk. In practice, this means identifying weaknesses such as outdated dependencies and insecure coding practices, conducting penetration testing to identify exploitable security gaps, performing compliance testing to help the app meet applicable privacy, security, and industry requirements, and conducting threat modeling to anticipate and mitigate potential attack vectors.
Finally, QA security testing often involves QA, development, and security specialists working together because security risk spans code, architecture, and compliance, which are areas that rarely sit within a single team. In contrast, traditional QA testing typically remains within the development and QA teams.
QA security testing draws on five distinct methods, each targeting different layers of application risk.
Static application security testing (SAST) is a commonly used application security (AppSec) testing method. It analyzes an application’s source, byte, or binary code without executing it, and can help identify vulnerabilities and coding risks earlier in development.
Software composition analysis (SCA) identifies vulnerable open-source and third-party components and dependencies in software by scanning components against vulnerability databases, such as the Common Vulnerabilities and Exposures (CVE) database. It can significantly improve visibility into open-source and supply chain risks.
Dynamic application security testing (DAST) involves running the software to analyze the behavior of the code. It can detect issues that appear in running applications or test environments.
In manual validation and exploratory testing, teams investigate workflows that automated testing may miss. They evaluate edge cases and misuse scenarios, and test unexpected or malformed inputs to identify unsafe application behavior.
The fifth type of QA security testing is dependency and configuration review, which identifies outdated components and insecure configurations. It also reduces exposure that may be introduced through third-party software or environment settings.
To integrate security effectively across the development process, QA teams follow several steps across the SDLC.
First, teams should consider what needs protection. For example, what data will the app collect, and who should have access to what? They can do this by engaging with all business stakeholders and conducting an analysis to understand the app’s architecture, data sensitivity, and user roles. They then use this information to tailor security testing to the app’s specific needs.
By defining security requirements early during planning and design phases, teams can resolve issues faster and more easily, reducing technical debt.
After defining security requirements, teams integrate automated security testing into DevSecOps, a workflow that integrates security into every phase of the development lifecycle rather than treating it as a separate downstream process.
By integrating testing into DevSecOps, teams reduce friction and improve consistency in development. Teams perform integration by running automated security checks in CI/CD pipelines and continuously identifying issues during development rather than after release.
While running automated security testing workflows, teams continuously document and clearly report vulnerabilities. They also rank findings by severity and potential impact, so the most critical threats are addressed before they can cause harm.
Finally, to prepare for releasing the app to the public, teams perform regression and smoke testing with security considerations in mind. They also monitor for issues after deployment so they can address issues that emerge after release. To prevent damage, teams continue vulnerability testing after deployment as new threats and dependencies emerge.
Teams should anticipate several QA security testing challenges:
For teams adopting QA security testing within DevSecOps, tools like Kiuwan’s Code Security (SAST) and Insights (SCA) provide the infrastructure needed to make security testing continuous and consistent. They can:
Start your free 14-day Kiuwan trial today to learn more about how it can support your QA security testing workflow. You’ll see how Kiuwan fits into your CI/CD pipeline and DevSecOps environment, how it can help you align with recognized security and coding standards, scan your code for security risks, support over 30 programming languages, and more.
QA security testing spots vulnerabilities and unsafe behavior in software before it reaches production. Its goal is to protect user data and organizational assets.
Security testing is important in QA because it helps teams identify security vulnerabilities earlier in the SDLC, such as during design and development. When issues are found earlier, remediation is much cheaper and less disruptive than when they are discovered after deployment.
Functional testing validates expected behavior under normal conditions, while security testing looks at how software responds to misuse and attacks.
QA teams increasingly participate in security validation along with dedicated security specialists. Together, they spot risks earlier and support DevSecOps practices throughout the SDLC.
Common vulnerabilities identified during QA security testing include injection flaws, authentication weaknesses, insecure dependencies, misconfigured environments, and logic errors that lead to unintended access or data exposure.
Security testing integrates into CI/CD pipelines, so teams can perform continuous automated analysis at every SDLC stage instead of at the end.
No, automated tools can’t replace manual security testing. Teams must perform manual testing to stress-test complex workflows and edge cases that automated tools cannot anticipate.
Teams should perform QA security testing throughout the SDLC, starting at the requirements stage and continuing through development, release validation, and post-deployment monitoring. This helps catch errors early before they become costly and difficult to fix after deployment.
