This paper deals with adaptive stabilization problems for a class of stochastic onlinear systems with input saturation. A dead zone based model is used to describe saturation henomenon. A stochastic Lyapunov method is applied for systems in strict-feedback form riven by Wiener noises of unknown covariance. An adaptive controller is obtained which uarantees the global asymptotic stabilization in probability. Simulation results are provided o illustrate the  ffectiveness of the proposed approach.