AI Safety Nets for the Atlassian Cloud: Managing Risk and Resilience at Scale - GDS Group

AI Safety Nets for the Atlassian Cloud: Managing Risk and Resilience at Scale

ROUNDTABLE
23 February 2026 10:30 am - 12:00 pm EST
IN PARTNERSHIP WITH

As AI accelerates across the Atlassian Cloud, how can organizations put the right safety nets in place to protect data, maintain resilience, and retain control without slowing innovation?

AI capabilities are rapidly expanding across the Atlassian ecosystem, from intelligent search and automation to agent-driven workflows that touch critical business data. While these innovations unlock productivity, they also introduce invisible risk: misconfigurations, runaway automations, and AI-driven actions that can cause large- scale data loss before teams know something is wrong. How can leaders confidently adopt AI in Atlassian Cloud environments while keeping systems protected, recoverable, and audit-ready?

Addressing this risk requires rethinking resilience and control. Traditional backup and recovery models, built for human-driven systems, struggle to keep pace with always- on automation and AI operating at scale. Leaders are reassessing how data protection, configuration recovery, and incident response fit into their broader AI readiness strategy, ensuring infrastructure can absorb failure, governance evolves with speed, and teams maintain visibility when it matters most.

Join peers and experts for a candid discussion on building effective AI safety nets within the Atlassian Cloud. Together, we’ll explore practical ways to manage risk without slowing innovation, align resilience with business and compliance priorities, and ensure AI adoption is supported by the safeguards needed for long-term trust and reliability.

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Event host

Daniel Laframboise

Solutions Engineer
Dan is a Solutions Engineer at Rewind, where he's spent the last four years helping businesses safeguard find out more

About Rewind

Rewind (rewind.com) is the leading SaaS resilience platform, moving beyond traditional backup to ensure organizations stay failover-ready in an increasingly complex cloud landscape. While traditional solutions focus on reactive recovery, Rewind provides a state of readiness, protecting the critical data, configurations, and business logic that drive modern enterprises. Trusted by over 100,000 organizations worldwide, Rewind safeguards the operational backbone of platforms like Jira, Confluence, Bitbucket, GitHub, and Azure DevOps. Rewind also supports compliance with industry standards and regulations such as SOC 2 Type 2, GDPR, CCPA, and HIPAA, giving businesses confidence in their data security.

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Discussion topics

Rethinking data resilience as a foundational requirement for AI adoption in Atlassian Cloud environments

Managing the hidden risks of AI-driven automation, agents, and configuration changes at scale

Establishing governance, backup, and recovery strategies that support speed without sacrificing control

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