---
title: "Build to learn, buy to scale: When to build your own AI SOC (and when to stop)"
url: https://daily.dev/posts/build-to-learn-buy-to-scale-when-to-build-your-own-ai-soc-and-when-to-stop--mbd36ifxg
source_url: https://webflow.sysdig.com/blog/build-to-learn-buy-to-scale-when-to-build-your-own-ai-soc-and-when-to-stop
type: article
source: "Sysdig Blog"
published: 2026-06-25T13:50:39.313Z
updated: 2026-06-25T13:50:57.396Z
tags: ["security", "ai-security"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

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# Build to learn, buy to scale: When to build your own AI SOC (and when to stop)

**[Sysdig Blog](https://daily.dev/sources/sysdig-blog)** · 5 min read · 0 upvotes · 0 comments

## Summary

LLMs have made it feasible for security teams to build their own AI-driven SOC, and doing so offers real learning value — forcing teams to understand data pipelines, triage gaps, and where AI actually helps. However, at scale, the operational costs mount quickly: model drift, maintenance burden, governance, and the need to meet benchmarks like Sysdig's 555 rule (detect in 5s, investigate in 5min, respond in 5min). The core argument is 'build to learn, buy to scale' — teams that experiment with homegrown AI SOCs are best positioned to evaluate vendor solutions, but should recognize when DIY stops making sense and commercial platforms become the smarter investment.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://webflow.sysdig.com/blog/build-to-learn-buy-to-scale-when-to-build-your-own-ai-soc-and-when-to-stop>

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---

Tags: [#security](https://daily.dev/tags/security), [#ai-security](https://daily.dev/tags/ai-security)

[View this post on daily.dev](https://daily.dev/posts/build-to-learn-buy-to-scale-when-to-build-your-own-ai-soc-and-when-to-stop--mbd36ifxg)