Data Forensics

How to create automatic forensic evidence

Why Data Forensics Are Critical

From unstructured to structured: the search for relevant data in data forensics

The forensic examination of IT systems can be crucial to providing evidence in court proceedings and criminal prosecution. An important component is evidence management, where digital evidence is collected, analyzed and prepared for court proceedings.

Unstructured data and dark data often complicate investigations against cybercriminals. However, IT forensic analyses must be conducted fast and effective in order to avoid a worst case scenario in the event of a data breach for example.

The 5 biggest challenges in IT forensics:

  1. Unstructured data: Many different sources and inaccessible storage locations make the search complicated.
  2. Data processing speed: Processing time depends on data volume and hardware performance.
  3. Data security: Protect data integrity and quickly identify potential threats or relevant information
  4. Data analysis: In-depth investigation and accurate evidence gathering for successful court proceedings.
  5. Data compliance: Compliance with legal requirements to ensure lawful data collection and analysis.

Automated data forensics with the APARAVI platform

Core Scan

Fast, cross-platform scan for initial inventory and capture of folder structures and files.

Data Analysis

Initial data analysis and data assessment. This identifies patterns and insights for decision-making.


Deep search for file contents and evaluation with fully customizable, transparent search criteria.


Verify metadata and file content through 250 predefined and unlimited custom classifications.

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Data Breach

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and avoid expensive consequences

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Data Sustainability

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Data Migration

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