FREE DOWNLOAD
A trusted approach to AI: Why teams can adopt Rovo with confidence
Executive summary
As organizations accelerate their adoption of AI, trust and data security have emerged as critical barriers to realizing AI’s full potential. Atlassian’s Rovo addresses these challenges head-on, offering a trusted, enterprise-ready approach to AI that empowers teams to innovate with confidence.
This ebook explores Atlassian’s strategic approach to building trust in AI, focusing on how Rovo leverages Large Language Models (LLMs) in conjunction with the proprietary Teamwork Graph while maintaining strict adherence to enterprise security, privacy, and compliance standards. You’ll gain insight into Atlassian’s Responsible Technology Principles and see how these principles are embedded in every aspect of Rovo’s design and operation.
Key takeaways
Understand how your organization can meet regulatory obligations and maintain control over your data
Explore how Rovo employs dynamic routing across a diverse set of LLMs, guardrails, and ongoing security audits to ensure safe, high-quality AI experiences
Gain insights into admin tools that provide visibility into AI usage, audit logs for compliance, and controls to manage access