AS-301i · Module 1

Automated Evidence Collection

3 min read

Manual evidence collection is slow and error-prone. Under incident pressure, investigators skip steps, miss log sources, and forget to hash artifacts before analysis begins. Automated evidence collection executes a pre-defined collection playbook that gathers all evidence in the defined scope, hashes each artifact, documents the chain of custody, and stores everything in the forensic repository — in minutes, not hours, and without the errors that pressure introduces.

Do This

  • Build automated collection scripts for each AI incident type — the script executes the complete evidence gathering process
  • Test collection automation monthly to ensure it works with current system configurations — a script that fails during an incident is worse than manual collection
  • Store collection scripts in version control alongside the playbooks they support — the collection process is part of the response process

Avoid This

  • Rely entirely on manual collection under incident pressure — humans under stress make mistakes, scripts do not
  • Automate collection without integrity verification — collection without hashing produces evidence without provenance
  • Write collection scripts once and never update them — system changes that break collection scripts produce evidence gaps