GLOSSARY · AI SECURITY
Active learning
Active learning is a training approach where the model flags the examples it is least sure about so humans label those first, cutting how much labelled data is needed.
It matters for security teams because the cases a model is least sure about are often where novel attacks hide. Sending those for human review first sharpens detection while keeping labelling cost and data exposure down.