Machine learning and analytics can help improve IoT security by identifying anomalies and patterns that signify a security breach. By analyzing data from various sensors and devices, machine learning and analytics can detect these patterns and notify security teams to take action. Additionally, machine learning and analytics can help prevent threats from becoming a larger security breach by quickly isolating the affected device and preventing lateral movement of traffic between devices and workloads. It is recommended that those involved in IoT product or service initiatives become familiar with cryptography, which plays an important part in nearly all aspects of IoT security.