How to detect multi-stage attacks with runtime behavioral analytics

This document describes Sysdig’s Runtime Behavioral Analytics, an enhancement to its Falco-based agent that correlates and contextualizes runtime events over time to detect multi-stage attacks in cloud-native environments while reducing noise and accelerating response. It illustrates how related actions (e.g., downloading to /tmp and rapid execution) are unified into a single threat narrative and highlights detections for staged Meterpreter shells, LD_PRELOAD hijacking, PTRACE-based process injection, and DNS-based data exfiltration. The piece emphasizes improved visibility, reduced false positives, and faster MTTR aligned with a 5-5-5 detection/triage/response benchmark.