Edge computing 33

Edge Security

Edge security in AI refers to the measures taken to secure the devices and networks at the edge of an organization’s network, such as Internet of Things (IoT) devices and mobile devices. As more data is generated and processed at the edge of the network, the need for edge security becomes increasingly important. Edge security measures can include authentication and authorization protocols, encryption, and intrusion detection and prevention systems.

Edge security in AI is particularly important in industries such as healthcare and finance, where sensitive data is often generated and processed at the edge. In addition to protecting against external threats, edge security can also protect against insider threats, such as employees who may intentionally or unintentionally leak sensitive data. Overall, edge security in AI is essential for ensuring the privacy and security of data generated and processed at the edge of an organization’s network.

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