---
title: "Discussion on \"Why Single-Layer LLM Triage Is Dangerous in a SOC — And the Architecture I'm Building to Prevent It\" | Hashnode"
description: "Discussion on \"Why Single-Layer LLM Triage Is Dangerous in a SOC — And the Architecture I'm Building to Prevent It\". Published on Hashnode | Anvesh Raju Vishwaraju | June 2026\nI came across an article recently that genuinely surprised me. Not because the topic was new to me — but because someone at the same educatio"
url: "https://hashnode.com/posts/why-single-layer-llm-triage-is-dangerous-in-a-soc-and-the-architecture-i-m-building-to-prevent-it/6a1fca4ec2e70f6b2969d371"
---

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# [Why Single-Layer LLM Triage Is Dangerous in a SOC — And the Architecture I'm Building to Prevent It](https://anveshtheaisocanalyst.hashnode.dev/why-single-layer-llm-triage-is-dangerous-in-a-soc-and-the-architecture-i-m-building-to-prevent-it?utm_source=hashnode&utm_medium=feed)

Published on Hashnode | Anvesh Raju Vishwaraju | June 2026 I came across an article recently that genuinely surprised me. Not because the topic was new to me — but because someone at the same educatio

Jun 3 · 10 min read · anveshtheaisocanalyst.hashnode.dev  
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## Written by

[Anvesh Vishwaraju](https://hashnode.com/@anveshv)

@anveshv · Mumbai, India

  
[View profile](https://hashnode.com/@anveshv)

Where Cybersecurity meets Artificial Intelligence — built in a lab, explained in plain English

AI and SOC analyst with 2 years of experience

## Responses 1

Markdown supported · ⌘↵ to post

[Abhijeet Rajhans](https://hashnode.com/@abhijeetrajhans)

[Jun 3](https://hashnode.com/posts/why-single-layer-llm-triage-is-dangerous-in-a-soc-and-the-architecture-i-m-building-to-prevent-it/6a1fca4ec2e70f6b2969d371/comment/6a20311028bffda0382ec20c)

Hmm, interesting... kind of what I align with... if the reason you are using an LLM is for 'reasoning', go ahead, but going through this post, i think my best bet would be to use deterministic code for the most part, and perfecting my predictions using an ML model only. Relying on an LLM only is risky, as mentioned. Even if you are going to implement a RAG architecture, The database of that RAG pipeline in itself could be used to create deterministic code and possibly training of the ML model. I guess LLMs must be used only at a stage after the two above-mentioned processes, and only for reasoning purposes and not as a primary decision-maker, maybe human-in-loop?.