How to manage data security when using AI
Artificial Intelligence (AI) can help businesses with things like efficiency and decision making, however if you’re putting in data that is not properly anonymised or you are not sure how the AI tool collects, stores, and uses the data it could pose significant risks.
Businesses using AI often give the tools access to sensitive data such as customer, staff or financial information to get a response or outcome. It’s important to carefully review the configuration settings, terms and conditions, and privacy policies of any AI platform you are using to understand what happens to data once it has been submitted.
What are the risks of putting data into AI?
- Accidental data leaks through cloud-based AI tools.
- Unauthorised access to sensitive customer information.
- Potential misuse of customer data by third-party AI providers.
How to reduce risk of AI data breaches
-
Review the data handling (including access and use) and privacy policies of any AI tool you are using to ensure compliance with your business and data security requirements as well as privacy laws.
-
Review the data handling (including access and use) and privacy policies of any AI tool you are using to ensure compliance with your business and data security requirements as well as privacy laws.
-
Establish an internal AI use policy or process, and clearly define what data can’t be uploaded into AI platforms and systems.
-
Train and remind staff on responsible use of AI, especially surrounding sensitive and proprietary information.
-
Remove, anonymise or change personal details when using an AI application so it can’t be used to identify or link to an individual.
Checklist for managing data security
We have created a short, downloadable checklist for you to go through to help you manage your AI data security.