IoT – It Just Isn't Safe – But it Can Be - UrIoTNews

Increase in the use of AI for IoT security – AI helps safeguard assets, reduce fraud, support analytics, and enable automated decision making in IoT applications. Machine learning can be used to monitor incoming and outgoing traffic in IoT devices to create a profile that determines the normal behavior of the IoT ecosystem – helping detect threats via unusual behavior patterns.Moreover, using AI to collect data from smart homes and organizations, web cameras, and other IoT devices helps provide data security and strengthen privacy, reducing the chances of cyberattacks.For example, organizations are using AI to determine employees access patterns, get insights for future office layouts, and detect suspicious activities. Aerospace and defense companies are combining IoT, AI, and cloud infrastructure to discover DoS or DDoS attacks. Taking a network-based approach to IoT security –IoT security is critical to all aspects of enterprise and personal security. However, due to the volume of devices and the range of manufacturers who may end up in the same environment, it's next to impossible to ensure the highest level of security in each one.