Keystroke dynamics (KD) is a non-intrusive authentication mechanism for detecting persons and academic fraud in online learning and testing settings. Keystroke dynamics are based on fundamental motor and cognitive traits that are difficult to imitate, making it a reliable method for detecting Identity Fraud and AI-Driven Cheating in Online Education. The combination of statistical analysis and machine learning technologies enables precise differentiation between human and AI-generated typing patterns, hence boosting examination integrity and protecting against impersonation and AI-based cheating. The study looks into two types of fraud in academic testing settings: Identity fraud and AI-powered chatbots, underlining the increasing difficulty in verifying the legitimacy and authenticity of assessments.