Zero-day attacks take use of unknown vulnerabilities in firmware, hardware, or software before developers have a chance to fix them.Artificial intelligence (AI), in contrast to traditional cybersecurity, provides a proactive and flexible method for detecting and preventing zero-day threats before they have a chance to do substantial damage.By using machine learning (ML) and deep learning (DL) to detect unknown threats based on behavior instead of depending on known signs, artificial intelligence (AI) enhances cybersecurity.Cybersecurity tools powered by AI keep an eye on user activity, network traffic, and file execution patterns.Threat intelligence systems powered by AI analyze past attack data to predict potential weaknesses.Machine learning is used by AI-powered antivirus programs to identify malware variations based on behavior.Security Information and Event Management (SIEM) is a security information and event management application that uses a historical log analyzer to offer a thorough method of data protection. It collects, analyzes, and detects suspicious activity in system log data from several sources and contexts.
