Generative AI and Security
Learn more about how to maintain good information security when using different generative AIs.
Learn more about generative AI and security
Where do I start?
There are many different generative AI products on the market today, and it can be difficult to understand what data you can safely input into the different tools. On this page you will find a short list of the most common AIs you may encounter and recommendations on what you should be aware of to maintain data security at AAU if you use AI tools in your work.
Data Classifica... What?
Data Classifica... What?
Which AIs can I use for what?
NB! Is there an AI missing from the list?
There are many AI tools that do not appear on this list. These have not yet been assessed, and therefore they can only be used for Classification 0: Public Information. The model is not complete and will be continuously updated.
What can different AI tools do?
If you're struggling to make sense of all the different generative AI products, you're not alone. As many of the tools are still relatively new, they also tend to change names several times. Below you will find a number of descriptions of the different AI products in the model. This page is constantly updated, but if you come across a new name for an AI tool or a product you would like to see on the list, you can make a request via the link.
Microsoft Copilot
Copilot Pro
Copilot for Microsoft 365
OpenAI ChatGPT
Google Gemini
Claude AI
Self-hosted AIs
Self-built AIs
Guidelines
More generative AI
Approval for Classification 1, 2 and 3
In order for an AI tool to be approved to use data with classification 1, 2 and 3, several things must be in place first. First and foremost, there must be a system owner who assumes any risks that may arise from using the product. If the product is not developed at AAU, is hosted outside AAU or otherwise stores or passes on data input to others, a data processing agreement must be drawn up. In some cases, a risk assessment must be prepared first.
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