Can machine learning really predict cyber attacks?
Yes, machine learning can analyze patterns in data to identify potential cyber threats before they occur.
How does it analyze these patterns?
It uses algorithms to process large datasets, learning from past incidents to recognize anomalies that may indicate an attack.
What types of data does it use?
It can use network traffic data, user behavior analytics, and historical attack data to improve its predictions.
Are there any limitations to this approach?
Yes, it can struggle with new, unknown attack vectors and may require continuous updates to remain effective.
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