Effective protection against earthquakes has always challenged humanity. United Nations’ reports indicate that earthquakes are still big challenges to overcome. Aseismic Isolation (AI) has provided an excellent solution and improved protection against earthquakes have been obtained by different Isolation Systems (ISs). The improving impact of AI on seismic resilience, however, is not appropriate to its capabilities and further attempts are required. Advanced materials, which continuously emerge, and are developed around the world, provide great opportunities to make AI more effective toward sustainable seismic resilience. Shape memory alloy (SMA)-based Superelasticity-assisted Slider (SSS) brings the advantages of SMAs, which are known as the most favorable advanced materials for structural earthquake engineering applications, in the practice of technically preferred friction-based AI. This novel IS is specifically pioneered to protect a broad variety of structures, ranging from buildings and bridges to equipment and art objects, against earthquakes, using a single platform that can be implemented both traditionally by its construction-industry-friendly structure and in the industrialized style by means of isolation units. It is also facilitated by SSS to utilize other advanced materials such as nanomaterials and metamaterials. All these are discussed in this paper, together with the demonstration of the versatility of SSS, which is obtained by its alternative configurations devised for combining sliding isolation with superelasticity that result in various hysteretic behaviors. Possible design strategies are studied for a typical office building and a sensitive medical equipment to investigate the effects of the alternative hysteretic behaviors. The seismic performances of SSS are compared with those currently used ISs in earthquake protection of a typical reinforced concrete residential building located in Italy. It is shown that high seismic performances can be obtained by the practical applications of the advanced materials in the AI technology to obtain sustainability in seismic resilience.