As GenAI becomes integral to modern products and workflows, traditional testing approaches are no longer sufficient to ensure reliability and trust. This session introduces TRUST — Threat Ready, Risk-Driven, User-Centric, Self-Improving, and Traceable — a practical framework for testing in the age of GenAI.

Threat Ready focusses on the need to protect our systems and products from internal as well as external threats.
Risk-Driven ensures testing focuses on areas of highest business and user impact.
User-Centric focusses on testing towards usability, perception, and confidence, not just accuracy.
Self-Improving / healing emphasizes how AI can enhance the testing process through intelligent test generation, pattern recognition, and continuous learning.
Traceable reinforces explainability and auditability so teams can clearly connect model outputs to data and decisions.
This framework blends human judgment with AI-assisted capabilities, helping teams validate not just performance, but responsibility, reliability, and long-term trust in AI-generated systems.

• A Framework for Testing GenAI Systems
  Participants will learn how the TRUST model provides a structured, practical approach to validate GenAI systems—covering data quality, model behavior, risks, and continuous improvement.
• How to Shift from Traditional Testing to Intelligence-Aware Quality?
  Attendees will understand why conventional test practices fall short for AI models and how to evolve toward training-aware, risk-focused, and human-centered testing strategies.
• Leveraging GEN AI to Strengthen the Testing Lifecycle
  The session will demonstrate how GenAI can augment testers through autonomous test generation, pattern detection, defect prediction, and self-improving validation loops.

Head of Quality Assurance with more than 14 years of comprehensive experience in software testing methodologies. Presently, I oversee a team of 60 professionals, comprising 3 QA Managers and 6 Test Leads, at my current organization, ensuring the highest standards of quality for web, mobile (Android/iOS), and REST API applications.
Core Competencies:
• Manual and automated testing utilizing Appium, Selenium, and Rest Assured frameworks for API automation, integrated with Browserstack for real-device execution.
• Performance testing with JMeter; production monitoring via Sentry, Mixpanel, and analogous tools.
• CI/CD orchestration through Jenkins pipelines for automated test suites.
• Extensive domain expertise in Fintech and Capital Markets, complemented by 5.5 years at Tata Consultancy Services as Business Process Lead.
Dedicated to advancing quality assurance practices, team development, and operational excellence. I welcome connections to explore strategic QA initiatives and collaborative opportunities in the fintech sector..