AI Assurance

Auto Added by WPeMatico

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, […]

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

Breaking the Black Box: From Traditional QA to AI Assurance and Governance

ai, AI (Artificial Intelligence), AI & QA Innovation, AI + Compliance, AI Assurance, AI Governance, AI Quality Engineering, AI Risk Management, AI safety, AI Trust and Reliability, AI Validation, Artificial Intelligence, Enterprise AI, Enterprise Technology, Generative AI, Generative AI Testing, LLM Testing, QA, QA Automation, QA Engineering, QA process, Quality Assurance, Quality Engineering, Red Teaming, Responsible AI, Software Testing, Spritle Blog, SpritleSoftware

I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address the unique challenges introduced by Large Language Models (LLMs). What I expected

Breaking the Black Box: From Traditional QA to AI Assurance and Governance Read More »

Testing for Trust: What IMDA’s LLM Testing Starter Kit Teaches Us At Spritle About AI Assurance

Breaking the Black Box: From Traditional QA to AI Assurance and Governance I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address

Testing for Trust: What IMDA’s LLM Testing Starter Kit Teaches Us At Spritle About AI Assurance Read More »