Digital Footprints
Explore digital footprints, investigative patterns, OSINT signals, case intelligence, and evidence trails in one structured workspace.
Investigation methods, tool configs, and case approaches.
SOPs for CDR ingestion, evidence handling, and reporting.
Methodology, findings, and lessons when approved content is published.
Forensic tooling, scripts, and integrations when approved content is published.
Digital forensics, CDR analysis, and cybercrime investigation listings.
Webinars, workshops, certifications, and conference listings.
Capabilities
Modular, extensible tooling purpose-built for digital forensics and investigation.
Ingest and analyse Call Detail Records. Detect patterns, towers, timing, and contact networks.
Internet Protocol Detail Records — map data sessions, URLs, devices, and session timing.
Visual relationship mapping across entities — numbers, towers, devices, and communities.
Open-source intelligence enrichment — social footprint, public records, digital identity.
IMEI/IMSI analysis, device switching patterns, and multi-SIM behavioural profiling.
Cell tower hotspot mapping, geo-clustering, movement trails, and night/day location splits.
Generate structured court-ready investigation reports with chain-of-custody documentation.
Natural-language investigation queries, anomaly summarisation, and automated insight extraction.
Roadmap
Planned capabilities shown as product roadmap items. These previews do not route to unfinished pages.
AI-assisted search across digital footprints, CDR/IPDR records, OSINT signals, entities, and investigation notes.
Smart policing workspace for case triage, suspect linkage, field intelligence, and investigation coordination.
Planned open-source intelligence workspace for usernames, emails, domains, and social footprint correlation.
Advanced IPDR session intelligence, app-category analysis, proxy/VPN detection, and network timeline correlation.
Planned workflow for linking communication spikes with financial investigation indicators where legally available.
Planned IMEI/IMSI/SIM/device-change analysis and device identity risk scoring.
Planned geospatial movement, tower-cluster analysis, route reconstruction, and location confidence scoring.
Standards & Trust
Inspired by NIST, SWGDE, DoT CDR guidance, BPR&D training material, and forensic best-practice concepts. Not a certification claim.
All ingested data is hash-verified on import. Evidence is stored with immutable audit trails.
Every access, export, and analysis step is logged with timestamps and officer identifiers.
Analysis algorithms are validated against known-good datasets and peer-reviewed methodologies.
Reports use structured analytical sections with traceable basis, limitations, and investigator review notes.
CDR/IPDR/TDR and tower records should be handled only when obtained through lawful authorization.
Process follows structured forensic methodology: collect → preserve → analyse → report.