A key component to system resilience is its traceability and metrology in terms of cyber resilience. To this end, FISHY addresses the need for accurately analysing composed ICT systems performance and trust in terms of cyber resilience and privacy effects. This is critical to mitigating the expected negative effects of cyber-attacks. The proposed strategies will leverage concepts from artificial intelligence (AI) and machine learning (ML), particularly applied to vulnerability propagation forecast and risks estimation, to ease proactive actions, as well as the adoption of the proper strategies and solutions to mitigate and thus minimize the effects of any cyber breach on systems performance. At the same time, the system will be designed with user (human) friendly interfaces for configuration of the features monitored, based on intent-based interfaces. Moreover, the implementation of interledger technologies will allow for the seamless connection and data interoperability among the different stakeholders comprising a supply chain, providing indisputable evidence and accountability guarantees