The default security response to AI is "no." At Atlassian, we chose
a different path. In this session, Alan Ross walks through how the security
team built a layered approach to AI enablement — one that lets engineers
experiment boldly while keeping the enterprise safe.

The journey has four acts: first, creating secure AI sandbox environments
where engineers can experiment without risk to production data. Second,
standing up VDI infrastructure with synthetic data so teams can test AI models
against realistic datasets without ever touching customer information. Third,
enabling production AI experimentation with the guardrails — data loss
prevention, audit logging, and access controls — that let security say yes
instead of no. And finally, embracing agentic AI: autonomous agents that can
query Jira, Confluence, and the Atlassian Teamwork Graph in real time, with HR
data automatically blocked, credentials scrubbed, and every action logged.

The lesson: security done right isn't a gate. It's the foundation that makes
AI adoption possible at scale — from your first sandbox to your ten-thousandth
user.

Live demo included.