HN824: That’s Not a Job for an LLM: The Right Way to Apply AI to Network Operations (Sponsored)

Artificial intelligence in network operations functions as a suite of practical tools rather than a singular, overhyped savior. Network engineers have long utilized machine learning and fuzzy logic for capacity planning and DDoS detection, while large language models (LLMs) now offer new capabilities for parsing data and accelerating productivity. However, LLMs lack true semantic understanding and determinism, necessitating guardrails and human oversight to prevent hallucinations and ensure reliable outcomes. Avi Freedman, founder of Kentik, emphasizes that while agentic AI can automate routine drudgery, it remains a complement to human expertise rather than a replacement for architectural planning. Effective integration requires treating AI as an augmented intelligence layer, where humans maintain control over high-stakes decisions while leveraging automated systems to handle complex, repetitive troubleshooting tasks.