This short chapter explores the potential of AI and ML in detecting lies within the C-suite. While seasoned fraud analysts may intuitively detect deception through verbal and non-verbal cues from CEOs, this is not an option on a grand screening scale with thousands of companies and CEOs. The chapter highlights research on lie detection, focusing on inconsistencies in behavior as deception indicators, verbal as well as non-verbal cues, like acoustic voice features, facial expressions, and micro-signaling. It also details how AI and ML models can be trained using publicly available audio and video recordings of C-suite executives to identify patterns indicative of fraudulent behavior and acknowledges the challenges of applying these models in real-world scenarios like earnings calls and interviews due to less controlled environments.