As the Internet of Things (IoT) continues to expand, so does the need for enhanced cybersecurity measures. With billions of connected devices transmitting data, the potential for cyber attacks has never been greater. Fortunately, advancements in artificial intelligence (AI) and machine learning are providing new solutions for real-time threat detection in IoT networks.
Machine learning algorithms are designed to analyze large amounts of data and identify patterns that can indicate potential threats. In the context of IoT, this means that machine learning can be used to monitor network traffic and identify anomalous behavior that may indicate a cyber attack.