Deep learning is a subset of machine learning that involves neural networks with many layers (deep neural networks) to model complex patterns in large datasets. It enables computers to learn from data by training models through techniques such as backpropagation and gradient descent. Deep learning excels at tasks such as image and speech recognition, natural language processing, and autonomous systems by automatically extracting features from raw data, thereby reducing the need for manual feature engineering. This approach leverages vast amounts of data and computational power to achieve high accuracy in complex predictive and classification tasks.

In data security, deep learning algorithms are trained to recognize anomalies, detect malware, and identify suspicious activities by processing vast amounts of security data, such as network traffic, logs, and user behavior. This advanced analysis helps accurately identify and mitigate sophisticated attacks, improve incident response, and enhance overall security posture by providing more robust and adaptive defense mechanisms.