Does repeated evidence help verify AI-written code? Exact planning, replayable pilots, and a negative result for the proposed controller.
-
Updated
Oct 11, 2026 - Python
Does repeated evidence help verify AI-written code? Exact planning, replayable pilots, and a negative result for the proposed controller.
Risk-aware active evidence acquisition with workflow, resource, safety, and review-capacity constraints.
探囊 / Tannang — portable, auditable Windows live-response acquisition and evidence orchestration.
End-to-end digital forensics lab — forensic image acquisition with FTK Imager (E01 format, MD5/SHA-1 verification) and deleted file recovery & artifact analysis with Autopsy (The Sleuth Kit). Recovered 70+ deleted files from unallocated NTFS sectors. Educational DFIR project aligned with NIST SP 800-86.
To associate your repository with the evidence-acquisition topic, visit your repo's landing page and select "manage topics."