This paper concerns the tilt stability for the minimization of the sum of a twice continuously differentiable matrix-valued function and the Ky-Fan $\kappa $ -norm. To attain this goal, we first provide a sufficient and necessary condition for a local minimizer of the composite $f=\varphi +g$ to be tilt-stable with the second subderivative of $g$ , where $g$ is a closed proper convex function, and $\varphi $ is a twice continuously differentiable function with Hessian $\nabla ^{2}\varphi (\cdot )$ being positive semidefinite on an open convex neighborhood of the local minimizer. Then, we apply the sufficient and necessary condition to the concerned Ky-Fan $\kappa $ -norm composite problem, and employ the expression of second subderivative of the Ky-Fan $\kappa $ -norm to derive a verifiable criterion to identify the tilt stability of a local minimum for this class of nonconvex and nonsmooth matrix optimization. As a byproduct, a practical criterion is obtained for identifying the tilt stability of solutions to the nuclear norm and spectral norm regularized minimization problems.