Security & Threat Intelligence · 26.08.2026, 17:47 UTC
Detecting multi-stage attacks on AWS: A guide to cross-service signal correlation
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | AWS Security Blog ↗ |
| Veröffentlicht | 26.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
A single alert from one security service tells you something happened. Read that signal alongside activity from other services and your own business context, and you will know whether what happened is part of a multi-stage attack. Consider a short sequence. An identity calls GetCallerIdentity from a source address it hasn’t previously used. Within minutes, that same identity runs a burst of List and Describe calls across several services, and some of them fail with AccessDenied. Soon after, a large volume of data leaves your environment toward a domain that was registered last week. Amazon GuardDuty might already flag pieces of this, such as the reconnaissance from an unfamiliar source, through finding types like Recon:IAMUser/* or Discovery:S3/*. What you gain from correlating the pieces yourself is a single view of the sequence, tied to your own business context, so you can act on the whole rather than triaging findings one at a time. This post is for security engineers and security operations teams who run Amazon Web Services (AWS) detection services and want to catch patterns specific to their environment. You will see how AWS detection and your business context fit together, and how to build correlations that use that context. The examples run in Amazon CloudWatch Logs Insights so you can try them today, and the closing section describes how to grow them into an automated pipeline. The walkthrough later in this post lists the prerequisites for these queries. Start with AWS detection services Begin with the AWS detection services. They cover the threats common …