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February 12, 2026ElectronicsOpen Access

Agentless and Automated Acquisition of Digital Evidence in Corporate and Industrial Networks: Architecture, Validation, and Compliance

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Authors

DFDavid García FernándezLTLlanos TobarraARAntonio Robles-Gómez

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Overview

This framework demonstrates effective digital evidence acquisition in hybrid environments, suggesting improved compliance and reduced risks.

Key Points

  • The study aims to create a framework for acquiring digital evidence in complex corporate and industrial networks without installing agents.
  • Developed an agentless and automated evidence acquisition framework using Ansible.
  • Evaluated the framework's performance against an agent-based platform (Velociraptor).
  • Assessed scalability, acquisition time, integrity, and operational impact.
  • Ensured compliance with international forensic standards and European regulations.
  • The agentless framework successfully acquired volatile memory and network evidence.
  • Experimental results showed improved acquisition time compared to traditional methods.
  • The solution maintained compliance with legal and operational standards.
  • Agentless automation proved to be a flexible approach for modern environments.

Cite This Study

Fernández et al. (2026) studied this question.

synapsesocial.com/papers/698d6ebb5be6419ac0d546f8https://doi.org/10.3390/electronics15040744
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  1. 1Network Forensics: A Rigorous Examination of the Collection and Analysis of Network-Based Evidence in Digital Crime Investigations2025
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