Posted On: Dec 15, 2020
Today, we are announcing the public preview of ML Detect, a new feature of AWS IoT Device Defender that automatically detects device-level operational and security anomalies across your fleet by learning from past data. Today, customers can use AWS IoT Device Defender’s Rules Detect to manually set static alarms. ML Detect makes this easier by automatically learning your fleet’s expected behavior using machine learning so that you don’t need an in-depth understanding of how your devices behave across a range of metrics to get started, like messages sent, disconnect frequency, and bytes in/out. Also, ML Detect automatically updates the expected behavior based on new data trends caused by seasonality and other changing factors. When an anomaly is detected, you can respond by choosing a built-in mitigation action like quarantining a device.
ML Detect public preview is available in all AWS regions where AWS IoT Device Defender is available except AWS GovCloud (US) and China regions. For more information on how to get started, see the launch blog post. To learn more about the feature, visit the AWS IoT Device Defender documentation.