---
title: "How We Built Slack AI To Be Secure and Private"
url: https://daily.dev/posts/how-we-built-slack-ai-to-be-secure-and-private-okdhoiqie
source_url: https://slack.engineering/how-we-built-slack-ai-to-be-secure-and-private/
type: article
source: "Slack engineering"
published: 2024-04-18T05:01:06.453Z
updated: 2024-05-09T09:28:18.744Z
tags: ["security", "ai", "privacy", "slack"]
reading_time: 6
upvotes: 4
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# How We Built Slack AI To Be Secure and Private

**[Slack engineering](https://daily.dev/sources/slack)** · 6 min read · 4 upvotes · 0 comments

## Summary

Slack has built a secure and private AI system by ensuring customer data never leaves Slack, not training large language models (LLMs) on customer data, operating only on data visible to the user, and upholding enterprise-grade security and compliance requirements.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://slack.engineering/how-we-built-slack-ai-to-be-secure-and-private/>

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---

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

[View this post on daily.dev](https://daily.dev/posts/how-we-built-slack-ai-to-be-secure-and-private-okdhoiqie)