Inference in cybersecurity refers to the process where an artificial intelligence (AI) or machine learning model uses patterns it has previously learned from data to make predictions, detect threats, or generate responses. During inference, the model applies its existing knowledge to new, unseen data, helping automate tasks like identifying malware, flagging suspicious activity, or generating alerts. This process is distinct from the training phase, as inference focuses on applying learned insights rather than learning new patterns.