Modeling mortality risk using stochastic processes is a powerful way to capture the inherent uncertainties in human lifespan and mortality trends. Unlike traditional deterministic models that rely on fixed mortality rates, stochastic models treat mortality as a random process that evolves over time, reflecting real-world variability and uncertainty. This approach is crucial in actuarial science, insurance, pension planning, and public health, where accurately assessing longevity and death probabilities impacts financial decisions and risk management.