Elevating Security with Dynatrace Davis Anomaly Detection

Anomaly detection is indispensable in security to detect threats early or identify unusual behavior. For anomaly detection, our #Dynatrace Davis® AI provides different anomaly detection analyzers, which can be simulated in the notebook for better understanding. In this Observability Lab we begin with David Bründl who recaps when to apply the various anomaly detection strategies such as static, auto-adaptive and seasonal baselining. We then hear from Gerhard Bryne on how Anomaly Detection applied to Security Use Cases makes security engineers more efficient when analyzing scenarios such as abnormal authentication requests. Links discussed: Notebook on Playground: https://dt-url.net/devrel-notebook-davis-anomalydetection Getting Started with Dynatrace: https://youtu.be/HPQi63mQg3w?si=HMCddShjCRgYylPC Davis Anomaly Detection App: https://dynatr.ac/4bgQC2A Chapter List: 00:00 - Introduction 01:05 - Recap - Davis AI Analyzer 01:52 - Demo - How Davis AI Analyzer works 02:40 - Demo - Static Thresholds 05:03 - Demo - Auto-Adaptive Thresholds 10:20 - Demo - Seasonal Baseline 14:20 - Applying this to Security Use Cases 14:39 - Anomaly Detection for Security 17:24 - How Anomaly Detection fits into Incident Evaluation 19:03 - Use Case: Detecting Anomalous Authentication Errors 19:45 - Demo - Query Authentication Errors 20:50 - Demo - Create Anomaly Detection 23:33 - Demo - Authentication Alert Workflow 24:55 - Demo - Security Investigator 31:34 - More Security Use Cases Subscribe to our channel → https://dynatr.ac/subscribeYT Stay up-to-date with Dynatrace! Follow us on: Facebook → https://facebook.com/dynatrace Instagram → https://instagram.com/dynatrace LinkedIn → https://linkedin.com/company/dynatrace X → https://twitter.com/dynatrace Twitch → https://twitch.tv/dynatrace Have a question about our platform? Visit our Dynatrace Community to connect with our experts and users → https://dynatr.ac/3FYfPB3 Try out our platform with a free trial or schedule a personalized demo at https://dynatr.ac/3VxvLDH.