How does machine learning impact cybersecurity?
Machine learning enhances cybersecurity by analyzing patterns in data to detect anomalies and potential threats.
Can you give me an example of how it's used in real-world scenarios?
Sure! For instance, machine learning algorithms can identify phishing emails by analyzing their content and sender behavior.
What are the limitations of using machine learning in cybersecurity?
Some limitations include the need for large datasets, potential biases in training data, and the risk of adversarial attacks.
How can organizations implement machine learning for better security?
Organizations can start by integrating machine learning tools into their existing security systems and training staff on data analysis.
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