As DevOps teams increasingly rely on Atlassian tools like Jira, Confluence, and Bitbucket to power mission-critical workflows, the risks associated with data loss, corruption, and unauthorized manipulation have never been higher. From accidental deletions and malicious insiders to AI-generated changes and compliance missteps, your development pipeline is only as strong as the data that supports it.

In this session, we’ll explore proven strategies for building a resilient, compliant, and future-proof DevOps environment. You’ll learn how to implement automated, secure backups across Jira, Confluence, and Bitbucket, recover critical DevOps data, and align with evolving regulatory frameworks such as GDPR, DORA, and the EU AI Act.

We’ll also unpack how the rapid adoption of generative AI and AI-powered automation is introducing new layers of risk — and how forward-thinking teams are integrating AI-aware resilience strategies to mitigate emerging threats.

Whether you're a DevOps engineer, IT leader, or compliance officer, you’ll leave this session with a tactical playbook for:

• Safeguarding Atlassian data integrity and availability.
• Navigating AI-related change tracking and rollback scenarios.
• Achieving audit-readiness across your toolchain.
• Meeting the rising expectations of customers, regulators, and auditors.

Don’t wait for a breach or a botched release to think about backup. Make data resiliency a foundational pillar of your DevOps strategy.