Fable 5.2 implements dual safety mechanisms, featuring both runtime guardrails against AI acceleration and capability limitations enforced during training. The author questions the necessity of this layered approach given trusted classification safeguards, attributing the design to proprietary development practices. This architecture reinforces the case for open-weight LLMs as transparent alternatives.