What tools are used for AI predictions in cybersecurity?

What tools are commonly used for AI predictions in cybersecurity?

There are several tools used for AI predictions in cybersecurity, including machine learning platforms like TensorFlow, IBM Watson, and Microsoft Azure. These tools help analyze data patterns to predict potential threats.

Can you explain how machine learning helps in predicting cyber threats?

Machine learning algorithms analyze historical data to identify patterns and anomalies. By training on past incidents, they can predict future threats and automate responses.

What are some specific examples of AI applications in cybersecurity?

Specific applications include intrusion detection systems, malware detection, and automated threat hunting, all leveraging AI to enhance security measures.

Are there any limitations to using AI in cybersecurity?

Yes, limitations include the need for large datasets, potential biases in training data, and the challenge of adapting to new, unknown threats.