Hypothesis-driven hunting on Mega Lake's full-fidelity telemetry.
Structured contextualization at the canonical-identifier layer. Hypothesis pivots traverse signature, artefact, and behavioral entry modes without re-baselining; intel enrichment binds to the same identifiers analysts query.
Reduced verdict ambiguity and faster triage. Each alarm arrives with its rule, source telemetry, enrichment, and confidence weighting — so the first question of the shift is decision, not interpretation.
Investigative continuity across the retention horizon. Schema-governed lake retention, reproducible deterministic correlation, and chain-of-custody-aligned evidence preservation are preconditions of the investigation, not deliverables to assemble under deadline.
Hunting requires full-fidelity telemetry, schema-governed retention, and a workspace that supports hypothesis pivots. Sampled or summarized telemetry collapses the hunt surface.
NOGTUS retains full PCAP, flow/session, file artefact, and behavioral baseline records under Mega Lake governance.
The Investigation Workspace supports signature, artefact, and behavioral entry modes with mode-pivots preserving context.
Hypothesis cycles compressed to hours.
Full-fidelity telemetry available across retention horizon.
MITRE ATT&CK framework mapping integrated into workspace.