A community grain-mill booking tester feeds resident names from a failed reservation into an unsanctioned personal GenAI helper. Which shadow-AI risk does this primarily illustrate?
Select an answer to reveal the explanation.
Short Explanation
Personal helpers are like unlocked filing cabinets on the sidewalk — handy, but anyone could peek. Feeding resident names into an unsanctioned tool raises breach exposure because those tools often lack shop-grade security and privacy controls. That is the information-security risk of shadow AI.
Full Explanation
One official consequence of shadow AI is information security and data privacy risk: personal or unsanctioned GenAI tools may not enforce the organization’s controls, increasing exposure of sensitive test or resident data. Strategy gaps such as weak objectives, fine-tuning plans, or multimodal features are separate selection or strategy topics. Testers should keep personal data out of unapproved helpers.