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.
AWS Proton now allows you to define services that do not include pipelines, giving developer and platform teams flexibility in defining, provisioning, and deploying their services.