---
title: "Secure AI adoption with data loss prevention (DLP)"
url: https://daily.dev/posts/secure-ai-adoption-with-data-loss-prevention-dlp--3opkmqrag
source_url: https://www.atlassian.com/blog/guard/secure-ai-adoption-with-data-loss-prevention
type: article
source: "Atlassian"
published: 2026-07-01T16:12:01.328Z
updated: 2026-07-01T16:12:23.589Z
tags: ["ai-security", "atlassian"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

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# Secure AI adoption with data loss prevention (DLP)

**[Atlassian](https://daily.dev/sources/atlassian)** · 6 min read · 0 upvotes · 0 comments

## Summary

AI adoption accelerates data exposure risks, making a strong data loss prevention (DLP) foundation essential. The framework centers on three steps: discovering where sensitive data lives using full-site content scanning across Jira and Confluence, classifying it with consistent labels (Public, Internal, Confidential, Restricted), and enforcing policies that automatically control access and sharing. Atlassian Guard Premium provides these capabilities natively within the platform, including AI-specific controls like Rovo Chat security filters that block sensitive data from appearing in AI prompts or responses, and Connector data security that prevents third-party data from being ingested into the Teamwork Graph. These AI controls are currently in early access.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.atlassian.com/blog/guard/secure-ai-adoption-with-data-loss-prevention>

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---

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

[View this post on daily.dev](https://daily.dev/posts/secure-ai-adoption-with-data-loss-prevention-dlp--3opkmqrag)