How does the AI feature in Didit Checklists for Jira ensure data privacy and security? We saw that you have an AI feature, is it trained on our data?

I’m part of a team currently evaluating Didit Checklists for Jira for our project management needs within our organization. While the tool seems promising, especially with its AI capabilities to suggest new checklists, we have strict data privacy and security guidelines. Can you clarify if the AI feature is trained on our data? Additionally, how does the system handle data transmission to ensure our sensitive information remains secure? The possibility to deactivate the AI feature is intriguing, but understanding the underlying data handling processes is crucial for our compliance team before making a final decision.

No, we do not use your data to train AI models.

The concerns regarding data privacy and security, especially when integrating AI technologies into project management tools like Didit Checklists for Jira, are both valid and important. To address your questions, let’s break down the process and the safeguards in place to protect your data.

Firstly, it’s crucial to understand that the AI feature within Didit Checklists for Jira is designed with privacy and security at its core. The AI does not train on your data. Instead, it operates by receiving anonymized prompts that you submit for creating new checklists. These prompts are sent to the AI service, which then processes the request and returns suggestions in the form of a JSON structure. This method ensures that no sensitive information is ever transmitted or stored outside.

Regarding data transmission security, only the prompts for new checklists are communicated to the AI service. This process is conducted over secured connections to prevent any unauthorized access or data breaches. The returned data, solely consisting of checklist suggestions, does not contain any proprietary or sensitive information, ensuring that your data remains within the confines of your security protocols.

The AI feature can be deactivated altogether.

Furthermore, the option to deactivate the AI feature provides additional control over the use of AI within your project management framework. The toggle link provided allows you to easily switch off the AI functionality, should you decide that’s best for your organization. However, it’s recommended to keep the AI feature enabled as it does not involve the egress of relevant or sensitive data, offering enhanced functionality without compromising on security.

In summary, Didit Checklists for Jira’s AI feature is designed to enhance your project management capabilities without risking data privacy or security. Through the use of anonymized prompts and secure data transmission protocols, you can leverage the benefits of AI-driven suggestions while ensuring compliance with your organization’s strict data guidelines.

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