Random HW faults as well as targeted fault attacks jeopardize the safety and security of digital systems respectively. The standard protection approach relies on the insertion of spatial HW or temporal SW redundancy to detect errors before they propagate to critical parts of the system and create safety or security hazards. Redundancy comes at high costs, usually more than 2X for dualmodular and more than 3X for triple modular redundancy. To reduce these costs, selective hardening or specialized protection scheme such as algorithmic based fault tolerance (ABFT) can be applied. In this talk, we cover several systematic approaches to apply selective hardening and ABFT for tinyML and security applications. In order to evaluate these schemes a fast open source fault injection environment based on Verilator is presented.