Is your organization prepared for a DORA audit? Learn how test automation, continuous quality engineering, performance testing, and traceable evidence help financial institutions demonstrate software quality and operational resilience.
For many years, software testing was primarily viewed as an engineering activity. Quality assurance teams validated releases, developers fixed defects, and organizations deployed software into production.
The Digital Operational Resilience Act (DORA) has fundamentally changed that perspective for financial institutions. Under DORA, software quality is no longer simply an IT concern – it has become part of operational resilience, governance, and regulatory compliance. Financial entities must demonstrate that their critical ICT systems can continue supporting essential business services even when facing technical failures, cyber threats, operational disruptions, or rapidly changing business conditions.
This shift has significant implications for Quality Engineering. Organizations are no longer expected merely to perform testing. They must also be able to demonstrate that testing is systematic, risk-based, repeatable, well-governed, and capable of providing objective evidence that critical software behaves as intended.
This raises an increasingly important question for technology leaders: Can your current test automation strategy actually prove software quality during a DORA audit? For many organizations, the answer depends less on the number of automated tests and more on the maturity of their Quality Engineering practices.
Unlike traditional compliance frameworks that prescribe detailed technical controls, DORA adopts a principle-based approach focused on operational resilience. The regulation requires financial entities to establish comprehensive ICT risk management frameworks, implement digital operational resilience testing programmes, monitor ICT systems continuously, manage operational risks, and maintain evidence supporting compliance.
Testing therefore becomes part of a much broader resilience strategy. Rather than validating only functional correctness, organizations increasingly need confidence that software remains:
Testing evolves from release validation into continuous operational assurance. For Quality Engineering teams, this means producing evidence rather than simply executing tests.
One common misconception is that DORA auditors are primarily interested in the number of automated test cases. In practice, quantity is rarely the key question. Auditors are more likely to evaluate whether testing demonstrates effective control over software risk.
Typical questions include:
The objective is to establish confidence that software quality processes operate consistently rather than depending on individual knowledge or informal practices. Consequently, organizations benefit from building testing programmes that generate structured, repeatable, and auditable evidence.
Automation has become indispensable for modern software delivery. Continuous deployment would be practically impossible without automated regression testing, API validation, integration testing, and CI/CD pipelines. However, automation alone does not demonstrate operational resilience.
Consider two organizations. Both execute thousands of automated tests after every deployment. The first organization:
The second simply executes scripts without documenting outcomes or understanding which business processes they validate. Both automate testing. Only one produces convincing audit evidence. Under DORA, organizations increasingly require automation that supports governance as well as execution.
One of the strongest indicators of Quality Engineering maturity is traceability. Traceability links together:
This creates a continuous chain of evidence demonstrating that critical functionality has been verified throughout the software lifecycle. When an auditor asks how a specific payment workflow was validated following a software update, mature organizations can produce objective evidence quickly.
Without traceability, answering the same question may require time-consuming manual investigation. Good traceability therefore reduces both audit effort and operational uncertainty.
Not every application requires the same testing intensity. A customer authentication platform carries significantly greater operational risk than an internal reporting dashboard. DORA recognises this principle by encouraging organizations to adopt risk-based approaches to ICT resilience testing.
Quality Engineering teams therefore prioritize testing according to:
Risk-based testing improves efficiency while ensuring resources focus on the systems where failure would have the greatest business consequences. It also provides a clear rationale for testing decisions – something auditors frequently value.
Traditional release-based testing typically generates evidence only immediately before deployment. Modern financial institutions operate very differently. Applications may receive updates multiple times each week – or even several times each day. Continuous delivery therefore requires continuous verification.
Modern Continuous Quality Engineering integrates:
Every successful execution contributes additional evidence supporting software quality. Instead of preparing separately for audits, organizations continuously generate compliance evidence as part of normal engineering activities.
Software can function correctly while still failing operationally. Performance degradation frequently causes production incidents despite successful functional testing. Financial institutions must therefore demonstrate that critical services continue operating under realistic workloads.
Performance engineering typically includes:
Rather than answering whether software works, performance testing answers whether software continues working under business conditions. This distinction is central to operational resilience.
One of the most significant changes in modern software engineering is the recognition that testing alone cannot guarantee software quality. Applications continue evolving after deployment. Cloud infrastructure changes. Traffic patterns fluctuate. Third-party services experience failures. Customer behaviour changes. Consequently, organizations increasingly complement testing with observability.
Observability combines:
These capabilities provide objective operational evidence showing how applications behave under real production conditions. Rather than replacing testing, observability extends verification beyond deployment. For DORA readiness, this continuous visibility supports faster incident detection, quicker recovery, and improved operational resilience.
Artificial Intelligence is accelerating software development throughout the financial sector. Developers increasingly use AI-assisted coding tools to generate software faster than ever before. While this improves productivity, it also creates additional verification demand.
Every AI-generated software change still requires:
Similarly, AI-generated test cases should themselves undergo validation.
Organizations should therefore establish governance around:
The objective is not restricting AI. It is ensuring AI-generated software receives the same level of independent verification as traditionally developed software.
DORA fundamentally changes how financial institutions should think about software quality. Testing is no longer simply a release activity. It is an essential component of operational resilience.
Organizations that invest in Continuous Quality Engineering, automated testing, performance engineering, security validation, observability, and strong governance create two important outcomes simultaneously:
The most successful organizations will not be those that automate the greatest number of tests. They will be those capable of producing trustworthy, traceable, repeatable evidence demonstrating that their critical systems remain secure, resilient, and reliable throughout continuous software delivery. In the DORA era, software quality is no longer something organizations merely achieve. It is something they must continuously demonstrate.
Preparing for DORA requires more than implementing additional tests – it requires building a Quality Engineering capability capable of generating continuous, auditable evidence across the software lifecycle.
ProofIT has extensive references in the automated testing and performance testing of complex, critical systems, supporting leading organizations across the banking, telecommunications, and aerospace industries.
Our specialists help organizations implement scalable automation frameworks, performance engineering, end-to-end testing, continuous validation, and independent quality assurance for business-critical systems operating in demanding regulatory environments.
Contact ProofIT today at business@proofit.tech or +44 73 6048 4722 to learn how modern Quality Engineering can strengthen your operational resilience and support your DORA compliance objectives.
