Touch

Software für digitale Forensik

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This platform functions as a extensive forensic and investigative workspace designed to organize, analyze, and validate complex information related to stories, incidents, claims, and disputes. Its key features include source management, claim and evidence verification, noise filtering, timeline generation, lens creation for perspective analysis, and report generation, which facilitate accurate fact-checking, dispute resolution, and evidence aggregation. It addresses challenges such as information overload, disorganized data, unsupported claims, and conflicting narratives, making it ideal for forensic investigators, legal professionals, journalists, and researchers seeking a streamlined solution for managing and analyzing messy or incomplete information.

Touch kann gefunden werden in Digital Forensics Software Kategorien.

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Details

Touch Hauptfunktionen

• Noise
  You can add noise or unsupported information and mark it as reviewed.
• Claims
  You can add claims and mark them as reviewed or supported by sources.
• Intake
  You can add stories, sources, files, photos, recordings, media, or claims to start analyzing a matter.
• Analyze
  The system helps you analyze the information you have entered.
• Sources
  You can add sources and mark whether they are reviewed, supported, disputed, or weak.
• Evidence
  You can add evidence such as photos, records, or timestamps and mark them as reviewed.
• Load Demo
  You can load example data like links, files, photos, or records to see how the system works.
• Run Lenses
  Lenses are created from the matter and help analyze dates, times, and the order of events.
• Matter Summary
  The report gives an overview of the story, facts, claims, evidence, noise, and lenses.
• Generate Report
  The system can produce a summary report of the matter after analyzing all parts.
• Mark Lenses Reviewed
  You can review and mark lenses as finished.
• Manual Questions Disclaimer
  There is a disclaimer explaining the purpose of the system related to organizing messy matters.

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