Talk Description
AI systems introduce a new kind of risk.
They don’t just fail; they produce plausible, unsafe, or misleading outputs while appearing correct.
Guardrails are used to control these behaviours. But in most systems, they are:
- vaguely defined
- poorly tested
- incorrectly implemented
In this session, Rahul Parwal introduces a structured approach to learning AI guardrails through an interactive, scenario-based format.
Participants will work through short exercises that reflect real testing challenges:
- Identifying types of guardrail failures
- Determining when a guardrail should trigger
- Recognising common attack patterns
- Improving weak system prompt rules
- Spotting implementation-level issues
By the end, participants will have a practical framework to test AI systems more systematically.
Learning outcomes
- Understand the various categories of AI guardrails
- Practice a set of practical techniques to test AI guardrails
- A clearer understanding of where set guardrails fail in real systems
Rahul Parwal is a Test Specialist with expertise in testing, automation, and AI in testing. He’s an award-winning tester, and international speaker.
Want to know more, Check out testingtitbits.com
Rahul Parwal is a Test Specialist with expertise in testing, automation, and AI in testing. He’s an award-winning tester, and international speaker.
Want to know more, Check out testingtitbits.com
