Cyber Forensics Lab
Evidence-driven analysis for incident response & investigation
The GCTI Cyber Forensics Lab supports hands-on training, controlled simulation, and investigative workflows that translate digital evidence into decision-grade findings. Validated outcomes feed AEGIS and the Dynamic Threat Mitigation (DTM) cycle through governed, human-reviewed improvement proposals—strengthening detection, response, and resilience over time.
Chain of custody IR workflows Telemetry correlation AEGIS + DTM feedback loop
Work with the lab
Training cohorts, research collaboration, exercises, or lab-supported projects.
Incident Response Forensics
Containment & investigation support
Structured workflows for triage, artifact collection, timeline building, and decision support during incidents.
  • •Triage and scoping
  • •Evidence preservation discipline
  • •Actionable remediation notes
Endpoint & Disk Analysis
Artifact-driven investigation
Examine file systems, persistence mechanisms, execution traces, and user activity to reconstruct events.
  • •Disk imaging approach
  • •Persistence & movement indicators
  • •Timeline reconstruction
Memory Forensics
Runtime behavior analysis
Analyze volatile memory to identify processes, injected code patterns, and suspicious runtime artifacts.
  • •Process/module review
  • •Runtime indicator extraction
  • •Evidence-backed findings
How lab findings feed AEGIS + DTM
Investigations and exercises produce evidence-backed insights that are converted into structured improvement proposals. Updates are reviewed and approved by humans before adoption, with rollback points and measurable success criteria.
Evidence → structured record
Timelines, indicators, telemetry, and notes are encoded into traceable learning records.
DTM proposal → validation
Mitigation proposals (detections, playbooks, controls) are validated with measurable signals.
Lab Outputs
Deliverables designed for stakeholders and practitioners.
  • •Case-style investigative reports
  • •Evidence logs and timelines
  • •Executive summaries and briefings
  • •Training modules and scenario packs
Exercises & Validation
Controlled practice environments for skills and methodology.
  • •Scenario-driven simulations
  • •Red/blue/purple team alignment
  • •Measured outcomes (accuracy, time, quality)
  • •After-action reviews and improvements