Even the legitimate use of generative AI carries risks. Consider the inaccuracy of outcomes. Companies using generative AI will need to be vigilant in applying professional skepticism and an extra emphasis on quality assurance to the results. Generative AI has limitations on learning "new" outcomes, meaning additional training and research is needed, along with monitoring of end results to verify that it is delivering in line with expectations. Should the generative AI content contain inaccuracies, it could cause any number of failures that could impact business outcomes or create liability issues for the business. As an IT risk management expert, name 4 things companies could do to ensure accuracies and integrity of their systems