AxoDen-R presents a safety-critical architectural approach to ransomware containment in high-velocity data environments. Conventional endpoint and extended detection systems rely on probabilistic inference pipelines whose response latency is structurally mismatched to the execution speed of modern encryption workloads. AxoDen-R instead frames ransomware as a bounded information-control problem, analysing system evolution across thermodynamic, epistemic, and structural dimensions. The framework specifies deterministic state transitions, explicit latency assumptions, and provenance-aware recovery boundaries under a formally bounded adversary model. Collectively, these properties establish a certifiable basis for constraining irreversible data transformation while preserving auditability, recovery precision, and human agency. Implementation-sensitive parameters, operational thresholds, and deployment-specific mechanisms are intentionally abstracted in this record.
Erkan YALÇINKAYA (Sat,) studied this question.