Although both are important parts of the software development lifecycle (SDLC), QA and security are often run as separate disciplines. They involve different teams using different tools and may operate at different stages of the pipeline. When there is little collaboration between these teams, issues may be discovered late or fall through the gaps.
The need for stronger alignment is reflected in the 2026 Sembi Software Quality Pulse Report, which draws on responses from nearly 4,000 QA, security, development, and engineering professionals. Although 68% of respondents say stronger QA and security alignment would be very or extremely valuable, only 33% are highly confident that their organization can scale the two functions together.
These findings reflect a clear gap between intent and execution. This article explains why siloing these functions can cause problems and how aligning code quality and application security can help teams apply shared policies in the pipeline, address problems earlier, and prioritize the issues that matter most.
QA encompasses more than code quality analysis, including functional, integration, exploratory, performance, and other types of testing. This article focuses specifically on the area where QA and AppSec overlap: maintaining the quality, security, and compliance of source code.
Historically, QA and security have been treated as separate disciplines, with different goals and roles in the development pipeline.
Quality assurance evaluates whether software meets defined requirements and works as intended. This can include functional testing, test automation, performance testing, and code quality analysis. Security teams focus on identifying vulnerabilities, managing application risk, and addressing related compliance requirements.
Although these responsibilities remain distinct, running them in parallel with little communication can create serious problems across the SDLC.
When QA and security operate in isolation from one another, teams may identify defects and vulnerabilities later than necessary. These delays put more pressure on engineering teams, forcing developers to revisit code they wrote weeks or months earlier, often with less context.
For several years, the shift-left movement has pushed both quality and security testing earlier in the development process. Earlier feedback reduces the strain on developers who would otherwise have to fix code that is no longer fresh in their memories.
However, moving both security and quality testing earlier in the continuous integration and continuous delivery or deployment (CI/CD) pipeline can still create two separate paths: two scans, two dashboards, and two sets of findings for engineers to reconcile. Teams may end up with duplicated overhead even though both processes analyze the same codebase.
The Sembi report highlights this integration gap. Only about 26% of QA teams say they are mostly or fully integrated with DevOps, while just 9% of security teams report having fully integrated toolchains. Fragmented tools and workflows can create delays, blind spots, and duplicated effort across both disciplines.
Compliance programs based on PCI DSS, SOC 2, and ISO/IEC 27001 can add security-control and evidence requirements to development workflows. These frameworks don’t prescribe identical software-testing activities, but fragmented quality and security processes can make it harder to collect, organize, and explain the relevant evidence.
AI-generated code compounds these problems. According to the Software Quality Pulse Report, respondents estimate that an average of 53% of their organization’s code is now AI-generated or AI-assisted. At the same time, 61% report moderate to dramatic increases in QA testing demand due to AI-generated code.
AI can generate code quickly, saving developers time. However, engineering, QA, and security teams remain responsible for validating the resulting code and can find themselves working harder to keep pace with its volume.
As quality and security converge within the same governance conversation, teams are turning to AI tools to help process both human- and AI-generated code. Although many decisions still require human review, AI-assisted static code analysis can help prioritize findings and provide developers with remediation context.
AI analysis is only one part of the answer. Engineering leaders also need visibility into codebase health. Instead of working from unrelated dashboards for quality defects and security vulnerabilities, teams benefit from a shared view of both types of findings.
The Sembi report identifies conflicting priorities or KPIs, siloed teams, and late security involvement as the three leading barriers to stronger QA and security alignment. These structural problems can create several recurring failure modes during development.
Duplicated effort and conflicts can occur when QA identifies a quality problem in one section of the code and security finds a vulnerability in that same section. If neither team is aware of the other’s findings, the code may be modified by separate engineers working from incomplete context.
This risk is especially relevant because 30.5% of Sembi report respondents identify siloed teams with limited collaboration as a leading obstacle to stronger QA and security alignment.
When related quality and security findings are visible together, teams can coordinate remediation and evaluate the effect of a proposed fix on both areas.
A similar issue occurs with prioritization. If the QA team and security team both flag a problem in the same module, each team may assign it a different priority. For example, the QA team may consider the code stable enough to make a maintainability issue a lower priority, while security considers a related vulnerability urgent.
According to the Sembi report, 31% of respondents identify conflicting priorities or KPIs as a leading obstacle to QA and security alignment.
With a shared view, teams can consider security risk, code quality, business importance, and remediation effort together instead of maintaining unrelated priority systems.
Late-stage blockers are common when security scans begin only after QA has already signed off. Security findings can become last-minute release blockers instead of being addressed as part of the normal development process.
The Sembi report found that 28.9% of respondents identify security involvement arriving too late in the SDLC as a major barrier to alignment. Bringing static analysis and security checks into development and CI/CD workflows can help teams identify these issues before they become release blockers.
Siloed testing processes can weaken audit readiness. When teams need to provide compliance evidence, they may have to pull information from separate systems and reconcile it manually.
This process adds to the cost of compliance and increases the chance of incomplete or inconsistent evidence. Reducing unnecessary fragmentation creates a clearer audit trail while improving your ability to build more secure software.
There are three major areas to focus on when aligning code quality and application security.
Begin aligning the workflows by integrating static application security testing (SAST) and static code quality analysis into the same CI/CD process. Teams can run both analyses for commits, pull requests, or builds based on their risk and development requirements.
The quality gate should evaluate defined criteria from both areas. Code should meet the organization’s approved quality and security thresholds before it is merged or promoted. This helps prevent security issues from becoming last-minute blockers.
Kiuwan supports this workflow by providing SAST through Kiuwan Code Security and static code quality analysis through the Kiuwan Code Quality add-on, with support for more than 30 programming languages. Both analyses can be incorporated into CI/CD workflows and evaluated against configured quality and security criteria.
QA and security teams can work more efficiently when portfolio dashboards bring quality indicators and security risks into a shared view. Combined reporting makes it easier to assess code health without manually stitching together unrelated reports.
Shared visibility also enables teams to prioritize work using the same underlying application data instead of maintaining competing backlogs based on a partial understanding of the code.
Kiuwan Governance aggregates analysis data across an application portfolio, allowing leadership to review risk, quality, trends, and compliance indicators across projects and programming languages. Portfolio indicators such as the Risk Index, Security Rating, and Global Indicator help teams identify applications that require attention and prioritize remediation.
SAST findings mapped to standards such as CWE, OWASP, PCI DSS, CERT, and SANS give security and compliance teams useful traceability. Quality findings based on ISO 25000 characteristics provide information about the efficiency, reliability, maintainability, and portability of the code.
The value of this setup comes from being able to evaluate both types of findings within the same platform. For example, when a module contains a serious security vulnerability and also has poor maintainability, teams may prioritize it differently than they would if they considered either finding alone.
Kiuwan Insights adds software composition analysis that identifies open-source components, matches them against known vulnerabilities, and supports license-policy reviews. It also provides software supply chain visibility by generating SBOMs in CycloneDX or SPDX format. This information can support vulnerability management, license reviews, procurement requests, and regulatory reporting.
Kiuwan brings SAST, SCA, code quality, and portfolio governance into one platform. Each capability addresses a different part of code health, while the results can be used together to support shared policies, remediation priorities, and reporting.
With Kiuwan, teams can reduce the need to reconcile separate point solutions manually:
These capabilities operate within the Kiuwan platform, helping QA, development, security, and leadership teams work from shared application data while retaining the distinct findings and responsibilities associated with each discipline.
You don’t need to replace your entire pipeline to improve collaboration between QA and security. Start by examining where the two currently stand relative to one another:
Kiuwan helps QA, development, and security teams work from shared code-analysis data while reducing unnecessary duplication. It brings SAST, SCA, code quality, portfolio governance, and support for multiple software governance frameworks into one platform.
To explore how Kiuwan can support your development workflow, start a free trial today.
