We describe how the Kalman filter associated with signal and observation processes defined through stochastic evolution equations is stable under the very weak hypotheses of stabilizability, detectability. The results find application in the filtering of signals governed by linear stochastic differential equations with delays; here the hypotheses are directly verifiable.