AI-driven cybersecurity tools can process vast amounts of data in real-time, identify unusual patterns, and respond to threats faster than human analysts.
AI offers real-time threat detection, enhanced response times, proactive threat prediction, and automated routine tasks.
Challenges of AI in cybersecurity include a high rate of false positives, data privacy and security concerns, dependency on quality data, and potential for adversarial attacks.
Practical applications of AI in cybersecurity include fraud detection, intrusion detection and prevention, malware analysis and prevention, and user behavior analytics.