DORA and Model Risk Push QA/QC into Continuous Control Testing
Regulatory pressure is turning QA/QC into a continuous assurance function focused on live control effectiveness, model monitoring, and audit-ready evidence.
What is this trend?
QA/QC is shifting from one-time release checks to continuous control testing that proves resilience, model governance, and compliance in live operations.
- DORA pushes QA/QC to prove controls keep working under stress, not just at release.
- Model risk guidance now requires ongoing validation and monitoring for AI and external models.
- Evidence generation, audit trails, and remediation tracking are becoming core QA/QC work.
- Teams must test cloud, third-party, and operational dependencies continuously.
- QA/QC roles are moving from defect detection to lifecycle control assurance.
What’s the latest?
EU DORA now makes the next requirement explicit for banks and fintechs: QA/QC must support ongoing ICT resilience testing, remediation of findings, and proof that controls stay effective under stress,
How it developed
Go deeper
Curated long-form picks on this trend — podcasts, videos, and analysis, by seniority.
If you're an individual contributor

Validating AI in Insights: Essentials and Best Practices
Explainer podcast interview with Christopher Barnes on validating AI outputs via lifecycle QA/QC and human-in-loop checks.
Insights & Innovators Podcast from MRII · Podcast
Listen from 4:44 →Post-Training Challenges: Data Quality and Systematic Evaluation
YouTube analysis interview with Fireworks CEO Lin Qiao on post-training QA/QC via repeatable lifecycle evals.
Sequoia Capital · YouTube

Building Responsible AI Through Governance Testing and Continuous Learning
How-to podcast on governing AI lifecycle with layered guardrails, behavioral tests, and continuous risk monitoring.
The Stack Overflow Podcast · Podcast
Listen from 5:01 →If you manage a team
QMSR 2026: Quality as an Innovation Enabler, Not a Gate
News analysis of QMSR 2026 lifecycle quality, using PCCPs to shift QA/QC from checks to change control.
Medical Device and Diagnostic industry · News
Read →AI Agent QA & Testing: The Hidden Gap Nobody's Solving
News analysis on AI agent QA & testing, shifting from output checks to lifecycle evaluation and monitoring.
Nasscom · News
Read →AI Agent QA & Testing: The Hidden Gap Nobody's Solving
News analysis on AI agent QA shifting from output checks to lifecycle validation, monitoring, and trace evaluation.
Nasscom · News
Read →If you lead the organization
Creating Confidence in Intelligent Systems: Tanvi Mittal on AI Quality Engineering, Security, and the Future of Trustworthy AI
Interview with Tanvi Mittal on shifting AI QA from output checks to lifecycle security, monitoring, and governance.
Tech Times · News
Read →
Building AI Trust and Prioritizing Initiatives for Business Value
How-to podcast Q&A with David McKeering on lifecycle QA/QC controls, stress testing, and risk-led AI prioritization.
Fear & Greed Q+A · Podcast
Listen from 10:31 →Banking QA’s new reality: Is point-in-time testing ‘dead’
News analysis on banking QA shifting from point-in-time checks to continuous lifecycle monitoring and runtime governance.
QA Financial · News
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