Diffusion processes in complex systems are often observed to deviate from standard laws and are poorly represented by second-order diffusion models. Such deviations are observed in as diverse contexts as stock market volatility or random displacements of living species in their search for food. An ongoing issue with fractional diffusion models is the design of an efficient high-order numerical discretization. We will show that RBFs are exceptionally suited for this problem.