AI has become essential in cybersecurity, and there are several use cases for it. Here are the top 4 use cases for AI in cybersecurity:
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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.
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Malware detection: AI analyzes system usage patterns to identify potentially malicious activities or threat actors and predict cyber attacks before they happen.
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Security analyst augmentation: AI can help security analysts to prioritize risks, direct incident response, and distinguish malware attacks before they come into the scenario.
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Anomaly detection: AI can recognize and block bots by identifying their patterns, creating more secure captchas, and deploying honeypots to trap them.
Other applications of AI in cybersecurity include social engineering and spam detection, prevention of DNS data exfiltration, breach risk prediction, phishing detection, and user authentication. AI can help enterprises allocate their efforts to the most critical threats first, reducing the overall risk to the organization.
