In this talk, we address the problem of achieving "secure and resilient autonomy" in a cloud-backed distributed edge-AI environment. We call the latter paradigm "swarm-AI", with principles drawn from bio-inspired swarm intelligence. We give examples of diverse problem domains (including healthcare) where ¡°swarm-AI¡± is meaningfully applicable. We point out the challenges in making such systems reliable and secure, while meeting targeted performance and energy efficiency metrics. We will present our current solution strategy and initial simulation/emulation based results. In conclusion, we will examine some of the key research challenges going forward in the topic area addressed in this talk. In particular, we will draw upon the insights gained from the evidence of ¡°efficient resilience¡± manifested in robust, self-aware biological systems (in particular, human beings).