How can machine learning enhance cybersecurity?
Machine learning can enhance cybersecurity by identifying patterns in data, detecting anomalies, and predicting potential threats.
What are some specific applications of machine learning in security?
Specific applications include intrusion detection systems, malware classification, and automated threat response.
Are there any risks associated with using machine learning in security?
Yes, risks include model bias, adversarial attacks, and overfitting, which can lead to false positives or negatives.
How can organizations mitigate these risks?
Organizations can mitigate risks by using diverse training data, regularly updating models, and implementing robust validation processes.
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