The coordination and collaboration of different systems within an autonomous ecosystem require a high level of trust, which is often difficult to establish, especially in the presence of potentially malicious actors. We propose a new software architecture that leverages digital twin simulation for live compliance checking to determine the trustworthiness of smart agents running on autonomous systems. This trust-based approach provides a more robust and secure way of enabling collaboration between different member systems within an ecosystem. We will delve into the technical details of the proposed trust-based adaptive safety system, including the use of digital twin simulation, trust evaluation, and feature exposure. We will also discuss the potential practical applications of this architecture, particularly how it might be integrated into Kubernetes.
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