The NLP algorithms can find patterns and create inferences only if they receive accurately annotated training data in large volumes. Therefore, choosing the right NLP dataset is a critical step.

Vulnerability detection with NLP (Natural Language Processing) leverages machine learning algorithms to analyze software documentation, code comments, and commit messages for security flaws.