Do you know these four AI security risks? Test your knowedge:

When data is not updated frequently which leads to outdated outputs for current contexts

Deliberately corrupting information used to train an AI system for unreliable outcomes

Deleting old training data to save storage space in the cloud

Limiting user access to AI models, so they don't use all the data that is available

Stealing a user's password and using their CoPilot account

Deleting an AI model from a server

Selling someone else's AI model as your own with their sensitive data available

Gaining unauthorized access to a model's underlying knowledge or design to steal information such as Intellectual Property or sensitive data

Using carefully crafted prompts to override safety guidelines or leak sensitive data

Encrypting AI prompts before submission

Bypassing safety filters to generate forbidden content

Hiding unauthorized commands inside trusted data streams such as emails or documents

Poisoned datasets influencing business decisions

Compromised data from third-party software, plugins, data sources or hardware

AI models that process too much data

Models that accidentally leak private user data, passwords, or training information in their responses