The CoopEvo-CloudSec method represents an innovative cooperative evolutionary approach to optimizing the allocation of computing resources in cloud systems in order to improve the level of information security. This method integrates elements of game theory, multi-criteria optimization and dynamic risk analysis, allowing the formation of coalitions between protective components such as virtual machines, containers, firewalls and network policies. The basis is a variable risk profile λ(t), which is updated in real time based on data streams from security event management (SIEM), threat detection (EDR) and telemetry monitoring systems. This provides an adaptive response to cyber threats such as DDoS attacks, data leaks or anomalous activity, minimizing vulnerabilities without excessive resource consumption. The architecture of the method is based on the principles of modularity, interoperability, reliability and security. The central component – CoopEvo-CloudSec Engine (CEEngine) – implements NSGA-II or NSGA-III evolutionary algorithms to generate a set of Pareto-optimal solutions, taking into account the criteria: risk level, performance, latency, cost and energy consumption. The Te
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