Major network accidents can result in huge economic losses and have a serious brand impact for CSPs. Such incidents can arise from network architecture corruption, increasing network scale and complexity and APT (advanced persistence threat) attacks. Failures in network security and resilience can lead to regulatory compliance issues, as well as serious business continuity issues, data breaches and millions of dollars in losses. Leveraging advanced technologies, such as AI and digital twins, this Catalyst is developing a comprehensive tool platform to enhance network resilience and address disruptions for operators. The solution comprises two key components. The first component focuses on mitigating risks in network architecture. To identify vulnerabilities, it supports network blueprinting, simulation, analysis and optimization, enabling quick recovery and enhancing network performance. The second component focuses on risks related to network changes. Prior to implementation of the changes, the platform performs configuration verification, simulation and a deployment comparison to prevent disruptions. As the tool platform identifies network risks and configuration faults, operators can optimize the network, according to its suggestions, and reduce the number and impact of network incidents. In the event of a power failure, for example, the operator could switch all services to a redundant path, potentially preventing a prolonged outage that would affect million users. As well as boosting network resilience, the proposed platform should improve operational efficiency and security, ultimately enhancing brand reputation. CSPs AIS and HKT, which are Project Champions of the Catalyst, plan to use the platform to help build level four autonomous networks that are highly resilient and further their business development.