AI has several use cases in cybersecurity, and the following are some of the most significant ones:
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Network threat analysis: AI in cybersecurity monitors all incoming and outgoing network traffic to mine for suspicious activities and classify threat types. This helps detect and prevent network-based attacks.
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Malware detection: AI in cybersecurity analyzes massive amounts of data, event types, sources, and outcomes to detect the presence of malware before malicious files are opened. It also identifies types of malware, which is critical because malware continues to evolve alongside other advancements, from bots and botnets to malvertising, ransomware, and beyond.
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Security analyst augmentation: AI can help security analysts by automating routine tasks, such as data collection and analysis, freeing up time for more complex tasks.
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User authentication and access control: AI can help detect and prevent unauthorized access to systems by analyzing user behavior patterns and identifying anomalies.
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Anomaly detection: AI can analyze system usage patterns to identify potentially malicious activities or threat actors and predict cyber attacks before they happen.
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Prevention of DNS data exfiltration: AI can help detect and prevent data exfiltration by analyzing DNS traffic and identifying suspicious patterns.
Overall, AI in cybersecurity can help organizations detect and prevent cyber threats more effectively and efficiently. However, it is important to note that AI is not a silver bullet and should be used in conjunction with other security measures.
