Modern cloud environments are dynamic and distributed, often running virtual machines, containers, and serverless workloads at scale. Security teams strive to maintain visibility across these environments and connect related activities that might indicate complex, multistage attack sequences. These sequences can involve multiple steps, such as establishing initial access and persistence, providing missing credentials or performing unexpected data access, that unfold over time and across different sources. GuardDuty Extended Threat Detection automatically links these signals using AI and machine learning (ML) models trained at AWS scale to build a complete picture of the activity and surface high-confidence insights to help customers prioritize response actions. By combining evidence from d…

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