A risk sensitive approach to nonlinear filtering is considered. In this case, the traditional expected mean squared error is replaced by an expected exponential-of-mean squared error. A pathwise filtering equation is used to take the risk averse limit. This leads to a robust filtering estimator. The robust estimator yields a bound on the estimate error in terms of (finite) disturbance energy.