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Testing Beyond Pass or Fail: A QA Engineer’s Lessons from IMDA’s LLM Testing Starter Kit at Spritle

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I’ve been in QA for a few years now. I know how testing works. You write a test case. You define the expected result. You run it. It either passes or fails. Simple. So when our team started working on an AI-powered feature, I thought, okay, same process. Different kind of input, but same idea. […]

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Lessons from IMDA’s LLM Testing Starter Kit: An AI Assurance Perspective

Agentic AI security, ai, AI (Artificial Intelligence), AI Assurance, AI assurance framework, AI Governance, AI governance and compliance, AI red teaming, AI Risk Management, ai safety testing, AI security, Artificial Intelligence, Enterprise AI assurance, Large Language Models (LLMs), LLM testing best practices, OWASP Top 10 for LLMs, Prompt injection testing, Responsible AI, Spritle Blog, SpritleSoftware

Quality Assurance has always been about understanding risk and validating systems before they reach production. After more than eight years in QA and now working in AI security, governance, and red teaming, I often compare traditional testing practices with the challenges introduced by AI systems. While the risks have evolved from software defects to hallucinations,

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