1.2.8 Creating metric filters and dashboards to detect anomalous activity (for example, by using Amazon CloudWatch)

1.2.8 Creating metric filters and dashboards to detect anomalous activity for example, by using Amazon CloudWatch - In this episode, we dive into the crucial skill of creating metric filters and dashboards in Amazon CloudWatch for anomaly detection, as required for the AWS Certified Security - Specialty SCS-C02 exam. Metric filters extract specific patternslike unauthorized access attempts or unusual API callsfrom AWS log data and convert them into actionable metrics, while dashboards provide real-time, visual insights into these metrics for rapid identification of security threats. We discuss how these tools enable proactive threat detection, streamline analysis, and support incident response through customizable views and automated alerting. A detailed case study highlights the practical use of metric filters and dashboards to quickly detect and mitigate a crypto-mining attack within a multi-account AWS environment. For exam preparation, candidates must demonstrate the ability to configure filters, build effective dashboards, enable anomaly detection, and integrate automated responses using AWS services such as SNS and Lambda. We wrap up with best practiceslike using precise filter patterns and uncluttered dashboardsto maximize clarity and response speed, empowering listeners to both pass the exam and secure their AWS environments more effectively.

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