18. 12. 2024 Fabiana Pittalis Artificial Intelligence, Atlassian

Atlassian AI and Data Security: A Delicate Balance

The integration of artificial intelligence (AI) into Atlassian tools, such as Jira and Confluence, undoubtedly offers countless benefits but has raised many concerns about data security.

Why is data security so important for Atlassian?

Atlassian tools often contain sensitive information, such as development plans, customer data, and project details.

Imagine entrusting this information to a stranger. It’s a risk few would be willing to take, right?

Yet, when using AI-powered collaboration tools like Atlassian, our data is often shared with external services for processing. It’s essential that this data is protected from prying eyes, and used correctly and in compliance with privacy regulations such as the GDPR.

In summary, the three key concepts when talking about data are:

Data management
Data transfer
Privacy

How does Atlassian protect my data?

Transparency: Atlassian provides clear and detailed information on how user data is used and what security measures have been adopted
User control: Users can choose what data to use to train an AI model, and can choose to disable some functions
Encryption: Your data is encrypted and is always protected
Regulatory compliance: Atlassian ensures that its products and services comply with major privacy regulations such as the GDPR and CCPA
Collaboration with security experts: Atlassian is constantly working to identify and resolve any security issues

How can I protect my data?

Review privacy settings: Frequently check your Atlassian privacy settings and ensure they are configured appropriately
Limit data access: Grant access to data only to those who actually need it
Educate users: Explain to the team how to protect their data and inform them of best practices to follow

How will data security change in Atlassian?

AI is constantly evolving, and so are the threats to data security. Atlassian is investing in new technologies and methodologies to protect your data. In the future there could be:

Privacy-enhancing technologies (PET): technologies that allow your data to be processed securely without revealing sensitive information
More secure AI models: development of AI models that are much more resistant to cyberattacks
Collaboration with regulators: collaborate with regulatory authorities to develop standards and guidelines for the safe and responsible use of artificial intelligence

Conclusion

The integration of AI in Atlassian offers many advantages, but protecting data is essential. Atlassian allows you to use artificial intelligence safely, thanks to a transparent and proactive approach.