Atlassian to Collect Jira and Confluence User Data for AI Training by August 17, 2026

Atlassian is set to implement new data usage policies for its popular products, Jira and Confluence, starting August 17, 2026. These changes will allow the company to use metadata and in-app data for training its artificial intelligence features. Atlassian emphasizes that these updates are designed with a strong focus on user privacy and security, aiming to provide organizations with greater transparency and control over their data.

What Changed

A phased rollout of new data contribution settings will begin on April 16, 2026, with all organizations gaining access by May 19, 2026. This 90-day period will enable administrators to review and adjust their preferences before the new policy takes effect. In-app notifications will alert administrators when their specific settings become available, and these can be modified at any time.

Why It Matters

This shift reflects a growing industry trend of utilizing user data to enhance AI capabilities. By de-identifying and aggregating data, Atlassian aims to improve its applications while safeguarding user privacy. Organizations relying on Jira and Confluence for project management and collaboration will need to understand these changes to ensure compliance with their internal data governance policies. This is particularly relevant for businesses exploring new AI Agents & Assistants.

Potential Drawbacks

While Atlassian asserts that data will be de-identified and aggregated with safeguards against re-identification, some organizations may still have concerns. Default settings vary by plan: Free and Standard plans will have all data contribution settings enabled by default. Premium and Enterprise users will have metadata contribution enabled by default, but in-app contributions will remain opt-in. Careful configuration will be necessary to align with specific privacy requirements, especially for those utilizing AI Marketplaces.

Final Thoughts

Atlassian's updated data policy for AI training necessitates a proactive approach from its users. Administrators should familiarize themselves with the new settings and make informed decisions before the August 2026 deadline. This move underscores the increasing importance of responsible AI development and data management in the tech landscape.