Protecting High Value Assets in contested environments remains a critical challenge for autonomous multi-agent systems. This study investigates coordination strategies among allied drones tasked with escorting a strike drone through hostile territory. We introduce a discrete-grid simulation inspired by tactical military settings, where enemy drones spawn periodically and follow a deterministic pursuit policy. Focusing on interpretable and robust rule-based systems, we evaluate coordination protocols under varying agent ratios. Key results show that, when enemy drones are outnumbered, strategies that balance close protection of the strike drone with support to engaged allies yield higher mission success rates. Beyond performance, our work contributes to the standardisation of coordination rules for multi-agent defense tasks, supporting future interoperability across autonomous systems.