Our speech is being collected by various devices with voice-driven interactive services and transmitted over unsecured public networks to be stored and processed on vulnerable cloud-based infrastructure. With always-listening functionality, these devices result in ongoing energy consumption challenges and significant privacy concerns due to the potential for data interception by malicious actors. This scenario is particularly concerning since speech data is inherently personal, containing far more information than most people realise and can be misused for nefarious purposes. In light of the above, ensuring that voice data are private and minimising energy consumption are critical and urgent issues that require immediate action. Ultimately, P-SPIKE will accomplish this vision within the context of speaker verification in realistic conditions, while maintaining individual privacy protection by harnessing the potential of energy-efficient spiking neural networks for the processing of speech signals, a largely unexplored research domain with immense potential.