Human Error Drives Most Cyber Incidents. Could Ai Help?

This article explores the potential of AI-driven cybersecurity tools to reduce the risk of human error in cyber incidents. It looks at the current market for AI-cybersecurity tools, which is expected to grow from $4 billion in 2017 to nearly $35 billion by 2025, and the use of machine learning, deep learning, and natural language processing to reduce malicious activities and detect cyber-anomalies, fraud, or intrusions.