How does machine learning work in cybersecurity?

Can you explain how machine learning is used in cybersecurity?

Sure! Machine learning helps in cybersecurity by analyzing patterns in data to detect anomalies and potential threats.

What types of threats can machine learning identify?

It can identify various threats like malware, phishing attacks, and insider threats by recognizing unusual behavior.

How does it improve over time?

Machine learning models improve by continuously learning from new data, adapting to emerging threats and refining their detection capabilities.

Are there any limitations to using machine learning in this field?

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