Elevating Security with Dynatrace Davis Anomaly Detection

Описание: 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-da...
Getting Started with Dynatrace:    • Anomaly Detection on 5 Pillars of Data Obs...  
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

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