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NetInspector: LLM false negatives in network security policy enforcement
- Engineer — Learn: Research finding that fine-tuned LLMs exhibit false negative rates when validating proposed network intents against security policy — a design-relevant caution for teams evaluating LLM-based network automation or IBN tooling.
- SOC/IR — Skip
- Leader — Learn: Early evidence that LLM agents used for network policy automation can silently miss policy violations; useful context when evaluating AI-assisted infrastructure governance or setting guardrails for agentic tooling adoption.
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