Background, Tech projects handled, How to leverage machine-learning in cyber-security?

Question

Accepted Answer

Machine learning can be leveraged in cyber-security to detect and prevent cyber threats.

Machine learning algorithms can analyze large amounts of data to identify patterns and anomalies that may indicate a cyber attack.
By training machine learning models on historical data, they can learn to recognize known attack patterns and predict future attacks.
Machine learning can be used to automate the detection and response to security incidents, reducing the time and effort required by human analysts.
Examples of machine learning techniques used in cyber-security include anomaly detection, behavior analysis, and threat intelligence.
Machine learning can also be used to enhance user authentication and access control systems, by analyzing user behavior and detecting suspicious activities.

Accepted Answer

I was from a cyber-security background - this constituted bulk of the interview - specifics of algorithms delved into

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