Safety Signals to Verify NetOps Agents with Action-Level Granularity
Agentic Network Operations (NetOps) are an emerging paradigm promising to enable workload-aware, self-adjustable, and reliable autonomous networks. While agents have proven their value in incident summarization and telemetry signal extraction, their effectiveness as autonomous control-loop engines heavily relies on their long-horizon reliability. One such setting is the datacenter fabric, where an agent must respond to alarms and operator intents while abstaining from high-risk actions that may cause or extend downtime. Abstention, however, presupposes that an action's impact is known pre-execution, which necessitates a per-action ground truth that NetOps agent benchmarks do not provide. ...
| Authors | Tobias Labarta, Frederik Pahde, Novak Boškov et al. |
|---|---|
| Primary category | cs.AI |
| Published | 13 September 2026 |
| Last updated at source | 16 September 2026 |
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