What are the applications of machine learning in cybersecurity?

What are the applications of machine learning in cybersecurity?

Machine learning is used in cybersecurity for threat detection, anomaly detection, and automated response to incidents.

Can you explain how anomaly detection works?

Anomaly detection identifies unusual patterns in data that may indicate a security threat, helping to flag potential breaches.

What are some examples of machine learning algorithms used in this field?

Common algorithms include decision trees, neural networks, and support vector machines, each serving different purposes.

How effective is machine learning compared to traditional methods?

Machine learning can analyze vast amounts of data quickly and adapt to new threats, often outperforming traditional methods.

Are there any limitations to using machine learning in cybersecurity?

Yes, limitations include the need for large datasets, potential biases in training data, and the risk of adversarial attacks.