"In the cloud, infrastructure is short-lived. A compromised instance can disappear in minutes. Identities rotate. Logs expire. Evidence can vanish before analysis even begins. Cloud forensics is fundamentally different from traditional forensics. If investigations still rely on manual log stitching, attackers already have the advantage. Most teams face the same problem: alerts without context. You might detect a suspicious API call, a new identity login, or unusual data access - but the full attack path remains unclear across the environment."
"To investigate cloud breaches effectively, three capabilities are essential: Host-Level Visibility: See what occurred inside workloads, not just control-plane activity. Context Mapping: Understand how identities, workloads, and data assets connect. Automated Evidence Capture: If evidence collection starts manually, it starts too late. What Modern Cloud Forensics Looks Like In this webinar session, you will see how automated, context-aware forensics works in real investigations."
Cloud attacks occur faster than traditional incident response can often handle because cloud infrastructure is ephemeral, identities rotate, and logs expire. Investigations that rely on manual log stitching or delayed evidence collection risk losing critical artifacts. Effective cloud investigations require host-level visibility into workloads, context mapping of identities, workloads, and data assets, and automated evidence capture to start collection immediately. Correlating workload telemetry, identity activity, API operations, network movement, and asset relationships enables rapid reconstruction of complete attack timelines. Automated, context-aware forensics reduces tool pivoting and reconstructs incidents with full environmental context in minutes.
Read at The Hacker News
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