How does deep learning contribute to identifying complex cyber threats?

Deep learning helps in identifying and mitigating complex cyber threats by leveraging advanced algorithms and neural networks to analyze vast amounts of data, detect patterns, and recognize anomalies that may evade traditional detection methods. Deep learning models can learn to detect new and evolving threats by continuously training on large datasets, enabling them to adapt and improve over time. This approach enhances threat detection capabilities by identifying subtle indicators of compromise and previously unknown attack vectors, ultimately strengthening cybersecurity defenses.