Too often, AI feels more gimmicky than game-changing. It’s hard for executives to justify an investment in technology that spits out sloppy, inaccurate outputs that your college roommate’s nephew could have written.
Add to that security concerns, and it’s no surprise some leaders are hesitant to go all in with AI, especially when nearly half of organizations say they’ve experienced at least one negative consequence from using GenAI. Nobody wants to gamble their reputation, data, or limited budget on technology that doesn’t deliver what it promises.
For organizations to confidently adopt AI, having tools that safeguard data security and uphold privacy is essential. Atlassian sets the standard in this area with Rovo. Built on Atlassian Intelligence, Rovo is an enterprise AI solution designed to keep your data secure while helping teams find what they need, automate the tedious stuff, and stay focused on what matters.
In this piece, we break down how Atlassian Rovo protects your data, the tool’s built-in features, and the importance of prioritizing data security with your AI implementation.
How Atlassian Rovo Gets Data Security Right
Unlike consumer-grade AI tools, Atlassian developed Rovo–part of the Teamwork Collection– with the enterprise in mind. Rooted in their Responsible Technology Principles, Rovo has built-in data security and privacy. It doesn’t store or train on your data, only displays information users are authorized to access, and allows you to manage where and how it operates.
Here are a few ways Atlassian keeps your data safe with Rovo:
Your Data Stays Private
While Rovo uses various industry-leading LLM providers like ChatGPT, Claude, and Gemini, it doesn’t store or train on your data. Inputs and outputs are also processed in-memory and discarded immediately after use, ensuring total data security. On top of that, Rovo ensures providers don’t save the data you submit or the responses you receive. Every data request is transmitted securely over an SSL-encrypted service, leaving no room for shady practices.
At Praecipio, we have seen our clients’ concerns about how LLM providers handle their data. Their questions about whether their data could be used for training purposes or accidentally made public are common and valid. That’s why anytime we work with AI, we make security a priority. Our AI solutions combine the data you already have with powerful insights from external AI sources, all while ensuring your data stays within the walls of your company. That way, your information fully complies with the data security and privacy rules you have in place.
You Control Data Access and Use
Your inputs are only used to improve your Rovo experience, never anyone else’s. You decide which apps and data connectors Rovo can access, and if needed, you can easily disable AI for specific tools. Atlassian also never uses your inputs or outputs to train its own products and services. What’s yours stays yours, full stop.
You Control What Rovo Can Index
With Rovo, you decide what it can and can’t access. If you don’t want Rovo to pull certain types of information from a third-party app like Google Drive or SharePoint, you can create a blocklist to block Rovo from accessing it. Rovo never guesses or makes things up when it’s missing data, which means no inaccuracies or nonsense outputs that you get with public AI tools (like that one time you asked ChatGPT for a dinner idea and it suggested “caramelized broccoli ice cream”).
Rovo Respects Your Permissions
Rovo respects your existing user permissions and access. It only shows users the data they are already authorized to see. That means two users could see two different outputs, depending on the data and information they are allowed to access.
Rovo Is SOC 2 and ISO Compliant
With cybersecurity threats on the rise, businesses are doubling down on compliance and governance. This means your third-party vendors and tools need to meet strict security standards. Rovo is SOC2 and ISO 27001-certified and built to support GDPR. Atlassian’s AI capabilities are also included in regular audits.
Why Data Security Matters in AI-Powered Implementations
By 2026, Gartner predicts that businesses prioritizing AI and data security will boost AI model performance by 50%, which translates to better adoption rates, user acceptance, and organizational alignment. If companies want to build trust in AI, they can’t just implement tools and hope for the best. They need to create an environment where teams feel confident and supported in using AI effectively and responsibly. This can look like:
- Creating internal playbooks that outline guidelines for responsible AI usage
- Staying up-to-date on user permissions to ensure access rules align with data governance and privacy policies.
- Investing in training programs to help teams understand not just how to use AI tools, but also the potential risks and ethical considerations involved.
Without team buy-in, trust quickly evaporates. And without trust, it’s nearly impossible to get people on board with championing AI across the organization. Resistance can pile up, and before you know it, adoption slows, skepticism grows, and the value of your AI implementation goes untapped.
AI Technologies That Work For You
Even the most secure tools still need to be thoughtfully deployed. As a six-time Atlassian Partner of the Year, Praecipio can help you implement Rovo and AI strategies that move your business forward, not complicate it.
We tailor every implementation to your business needs, cutting through the bullsh*t to implement practical AI solutions that deliver real results and keep your data secure. From creating custom Rovo configurations to providing ongoing support that ensures Rovo grows with you, we make sure your AI tools support your needs and stay compliant with your data security policies.
Reach out to our team to learn more about how we can help you safely integrate AI into your workflows.
