Enterprise protection needs layered rails: content moderation, output filtering, behavior monitoring, and policy enforcement. Authentication alone controls users, not generated behavior. The practical pattern is interfaces that show recommendations, evidence, risk drivers, and immediate accept/modify/reject actions.
The selected option specifically B states "Multi-layered guardrails with content moderation, output filtering, and behavioral monitoring", which matches the operational requirement rather than a superficial wording match. In a GPU-backed agent deployment, Option B maps closest to how the NVIDIA stack expects orchestration, inference, and control policies to be separated. The alternatives would look simpler in a prototype, but high-level summaries without drill-down prevent experts from verifying whether the recommendation is grounded. This lines up with NVIDIA guidance because NVIDIA-style production governance pairs guardrails and observability with user-facing controls so interventions are traceable. This is exactly where NVIDIA's stack is strongest: separating acceleration, orchestration, policy, and observability.
Human review must be designed into the workflow rather than added as an after-the-fact manual workaround.