This episode explores the critical challenges and solutions in generative AI security and governance. Drawing insights from two whitepapers, we discuss key risks such as data exposure, hallucinations, biases, and outdated information. We delve into strategies like the UiPath AI Trust Layer and Cognizant's risk-based quality assurance frameworks, highlighting encryption, transparency, and human oversight as essential safeguards. Learn how businesses can responsibly integrate generative AI while navigating its complexities and potential.
