Which of the following is a benefit of AI-driven technology in malware prevention?

AI-driven technology in malware prevention is particularly beneficial because it adapts to new threats as they emerge. This adaptability is crucial in the cybersecurity landscape, where malware is constantly evolving and becoming more sophisticated. Traditional methods of malware detection often rely on signature-based techniques that can only recognize known threats. However, AI can analyze patterns, behaviors, and anomalies in real-time, allowing it to identify and respond to new and previously unknown malware threats effectively.

By using machine learning algorithms, AI can continuously learn from new data, updating its understanding of what constitutes a threat based on the characteristics and behaviors observed in existing malware. This proactive approach enables organizations to stay ahead of attackers, as AI systems can flag suspicious activities and provide insights before a potential security incident occurs. The capacity for continuous improvement and learning positions AI at the forefront of modern cybersecurity strategies.