Explore practical perspectives on AI testing, AI test automation, Quality Engineering, security testing, performance and modern QA. Each article helps QA and engineering leaders understand a current quality challenge and identify practical next steps.
July 2026 • Technical Perspective
A framework for assessing LLMs and AI agents against hallucination, prompt injection, and behavioural drift in business-critical workflows.
August 2026 • Automation Architecture
How engineering teams use AI to accelerate test authoring and failure analysis while keeping human oversight at the centre of quality gates.
June 2026 • Leadership Guide
A roadmap for embedding shift-left validation, API contract checks, and quality telemetry into modern CI/CD release cycles.
July 2026 • Security Engineering
Identifying API vulnerabilities and AI data leakage risks early so engineering teams can prioritize remediation before deployment.
May 2026 • Performance Architecture
How to structure load, stress, and scalability testing to establish degrade thresholds before high-volume sales peaks.
August 2026 • Domain Analysis
Managing multi-tenant regression, subscription retention pressures, and interconnected microservice stability.
Talk to OPAL about your testing challenges, automation goals or AI application—and identify the right next step.