Generative artificial intelligence has caught up to years of hype. As a result, companies are scrambling to adopt and deploy generative models. Yet, there are also concerns surrounding this innovative technology. Businesses must approach this opportunity with both optimism and caution. Generative Artificial Intelligence: More Than You Asked For helps decision-makers anticipate foreseeable risks created by the strange technological artifacts of generative technology. This includes the data used to train these models, the tendency of generative models to memorize training data, vulnerabilities to direct and indirect adversarial prompting, its tendency to leak sensitive information, and the rapidly evolving regulatory and legal concerns. Simply put, Richard Heimann and Clayton Pummill promote safer and more secure implementations for businesses with practical knowledge and sensible suggestions.