Your question is GenAI for Incident Investigation. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're advising an observability platform team that wants to use generative AI to speed up incident investigation for engineering and SRE users. Leadership is interested, but they are wary of wrong answers during high pressure incidents and of exposing sensitive telemetry, logs, or customer data to models.
How would you use generative AI to help customers investigate incidents faster while controlling hallucinations and data exposure risks?