Implementation of Devsecops allows for continuous security testing of multiple applications using DAST (Dynamic Application Security Testing) methodology and applications using SAST (Static Application Security Testing) methodology, thereby improving code quality and faster approach for security testing using various tools like CheckmarxOne, Burp Suite and other methodoligies.

To implement a strong shift left strategy, applying security at every level of the SDLC life cycle which ensures in releasing a secure product(applications) to the market. Embed security protocols into developer IDEs, DevOps pipelines, and source code repositories to ensure product security.

AI is transforming quality assurance from repetitive automation to intelligent, self-driven systems. This talk explores how agentic AI—systems that reason, adapt, and act independently—is being used to supercharge API testing and documentation in modern development environments.

• Through real-world examples, you’ll see how AI can:
• Automatically generate API test cases,
• Keep Swagger/OpenAPI docs up to date,
• Integrate seamlessly with CI/CD,
• Scale effortlessly across diverse codebases.

Whether you’re a QA engineer, developer, or engineering leader, you’ll gain actionable insights to future-proof your quality pipeline with AI-driven solutions.

• Agentic AI enables self-maintaining QA systems for APIs.
• You can auto-generate tests and docs reliably—even at scale.
• AI integrates naturally into CI/CD workflows.
• Think beyond automation—think autonomy.
• The future of QA is not just faster… it’s smarter.

Test automation is evolving, and context is now the key differentiator. Model Context Protocol (MCP) represents a fundamental shift in how AI interacts with automation frameworks. By allowing AI to “understand” where it is, what happened, and what needs to happen next, MCP introduces a new dimension of intelligence to our test pipelines. This session will showcase how MCP acts as the backbone for truly collaborative, adaptive testing between AI and humans and how you can start using it today with tools like Playwright.

• What is MCP?
  Gain a clear understanding of Model Context Protocol (MCP) and how it introduces structured, persistent context into AI-powered automation workflows.
• Why Context Matters in Testing
  Explore the limitations of traditional automation and how context-aware systems improve test reliability, adaptability, and decision-making.
• MCP + Playwright in Action
  Learn how to implement context-driven testing using Playwright and LLMs, including practical architecture, tooling, and integration strategies.
• Smarter, Adaptive Test Systems
  Discover how MCP enables dynamic test generation, self-healing scripts, and intelligent workflows that reduce flakiness and improve test feedback loops.
• Getting Started with MCP
  Walk away with actionable steps to begin adopting MCP in your automation pipelines — from initial setup to gradual scaling.
• Looking Ahead
  Understand the future role of MCP in scaling AI-compatible QA practices and why it will be a foundational element in next-generation test engineering.

I am a technology leader in diverse areas with a passion for enterprise data management, business intelligence, software quality assurance, and process optimization. Throughout my career, I have successfully built and led high-performing teams and implemented cutting-edge testing methodologies to enhance system reliability and efficiency. With deep expertise in ETL development, data warehousing, test automation, and agile transformations, I bridge the gap between business and technology. I believe in fostering collaboration, mentorship, and continuous improvement, ensuring that teams stay adaptable and forward-thinking. Whether it’s reducing defects through proactive QA strategies, streamlining ETL workflows, or executing large-scale digital transformation initiatives, I am committed to delivering measurable business results.