CORE v1.0 · MODULE 06

ARGUS7 / DIGITAL EVIDENCE WORKBENCH

Forensics

Preservare master evidence, working copy, hash, artefatti, timeline, parent/child e chain of custody.

INPUTSOURCEMODULE ANALYSISEVIDENCEHUMAN REVIEWOUTPUT

01 / DIGITAL EVIDENCE WORKBENCH

Every visual element is derived from the case dataset.

Zoom, pan, filters, selection and details expose entities, relationships, Source IDs and Evidence IDs. No automatic rotation or random data.

MASTER EVIDENCECFREDS-REF-001READ ONLY · SOURCE VERIFIED
WORKING COPYWC-001DERIVED · HASH REQUIRED
ARTIFACTAF-001FILESYSTEM
EVENTEVT-002TIMELINE
REPORT ITEMRI-003HUMAN REVIEW

02 / MODULE SPECIFICATION

Purpose, responsibility and operational boundaries.

This page preserves the names, agents, routing and dependencies of the ARGUS7 baseline.

PURPOSE

Preservare master evidence, working copy, hash, artefatti, timeline, parent/child e chain of custody.

PROTOTYPE
AINPUTS

INPUTS

  • Immagine forense
  • File e log
  • Output Cyber
  • Metadati di acquisizione
BPROCESS

PROCESS

  • Acquisition
  • Hash verification
  • Artifact extraction
  • Timeline normalization
  • Derived evidence creation
CACTIVATED AGENTS

ACTIVATED AGENTS

  • Forensic Agent locale
  • Anomaly Timeline Analysis
  • HITL Validation
DTOOLS / SOURCES

TOOLS / SOURCES

  • Tool forensi locali
  • CFReDS
  • Evidence Management
  • Project Memory / RAG
EVALIDATION / EVIDENCE

VALIDATION / EVIDENCE

  • Master evidence immutabile
  • Hash per trasformazione
  • Ripetibilità
  • Chain of custody
FOUTPUT

OUTPUT

  • Evidence tree
  • Artifact timeline
  • Chain-of-custody log
  • Forensic report
CONNECTED MODULES / COMPONENTS
VisionCyberInvestigationsEvidenceReport

03 / EVIDENCE ↔ INTERPRETATION

Control language follows the module's actual function.

ATTACK ↔ DEFENSE is not forced where it has no investigative meaning.

EVIDENCE
  • Master
  • Working copy
  • Hash
  • Chain of custody
INTERPRETATION
  • Artifact
  • Timeline
  • Derived item
  • Finding support

04 / CONNECTED CASES

The module does not operate in isolation.

The same case studies traverse multiple modules, using one data model and one evidence chain.