On 19th November 2025, we hosted our last community meet up of the year and over 100+ AI assurance and industry practitioners joined us to reflect, share, and prepare for challenges and opportunities coming up in 2026.
Fourtitude.asia and Dynamo AI shared their insights from their real-world testing journey as part of the Global AI Assurance Sandbox
Use case: Customer service GenAI RAG chatbot
Risks tested: Hallucination, data disclosure, undesirable content, vulnerability to adversarial prompts and other key custom risks such as religious sensitivities, royalty related sensitivities, political sensitivities, and racial sensitivities.
Insight: We can’t “copy-paste”guardrails. Tailoring input and output of Guardrails based on context is important.
Building a GenAI application or deploying agentic solutions? Join our Global AI Assurance Sandbox to test your systems for reliability. Submit your interest to join the Sandbox here.
Panel: Pertinent aspect of technical tests for AI systems
Speakers: April Chin (Co-CEO, Resaro), Dr Vaikkunth Mugunthan (Co-founder & CEO, Dynamo AI), Dr Yifan Jia (Founder & CEO, AIDX TECH), Wan Sie Lee (Executive Director, AI Verify Foundation)
Our speakers tackled the following topics:
What key governance risks do enterprises care about?
What technical tests can be conducted to assess AI systems’ output vis-à-vis these risks?
What are the key challenges in AI testing – datasets, metrics, evaluators?
What’s coming up in 2026? We shared a sneak preview of IMDA’s Policy on “Agentic AI guidance”
The objective of this upcoming guideline is to help organisations ensure human accountability and better manage risks of AI agents, even as best practices continue to evolve.
The scope of the guideline:
Thank you to our community for showing up and bringing best practices of AI testing to your organisations. Let’s meet again in 2026 and continue to leverage the collective wisdom of the community gained through real-world testing and governance journeys, and share practical insights to help organisations deploy GenAI systems at scale confidently.
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Your organisation’s background – Could you briefly share your organisation’s background (e.g. sector, goods/services offered, customers), AI solution(s) that has/have been developed/used/deployed in your organisation, and what it is used for (e.g. product recommendation, improving operation efficiency)?
Your AI Verify use case – Could you share the AI model and use case that was tested with AI Verify? Which version of AI Verify did you use?
Your experience with AI Verify – Could you share your journey in using AI Verify? For example, preparation work for the testing, any challenges faced, and how were they overcome? How did you find the testing process? Did it take long to complete the testing?
Your key learnings and insights – Could you share key learnings and insights from the testing process? For example, 2 to 3 key learnings from the testing process? Any actions you have taken after using AI Verify?