In this episode, we get into AI and digital forensics, where it can help, where it can go wrong, and how we’re using it without handing forensic conclusions over to an LLM. Instead, we look at AI as an engineering tool that can help develop an approach, generate code, and accelerate problem solving. From there, deterministic processes take over, backed by continuous integration, regression testing, and known datasets to produce repeatable results that examiners can validate and defend.
We also introduce GLEAPP, the newest member of the LEAPPs family, built for image and video triage at scale. GLEAPP can ingest file systems, archives, raw images, E01s, and Project VIC JSON, helping examiners work through large media collections more efficiently. We cover duplicate detection, perceptual hashing for visually similar media, face matching, offline mapping of EXIF GPS data, and flexible categories, tags, and flags for organizing what matters.
If you work in mobile device forensics, DFIR, or open-source forensic tooling, this episode is for you. We’re focused on practical tools, transparent methodology, and workflows that examiners can test, understand, and defend.
Give it a listen, let us know what you want us to tackle next, and share it with someone in your lab who could put GLEAPP to work.
Notes:
IACIS Registration:
https://members.iacis.com/training/orlando
IACIS Scholarships:
https://www.iacis.com/awards-and.../will-docken-scholarship/
https://www.iacis.com/awards-and.../womens-scholarship/
https://www.iacis.com/mark-baker-scholarship
Crush:
https://github.com/kalink0/crush-forensics
Arc2Lite:
https://github.com/stark4n6/Arc2Lite/releases/tag/v3.0.0
LEAPPS.org
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