Forensics research
Deep dives on detection architectures, synthetic video forensics, and automated bot analysis.
A technical guide to detecting generative video artifacts across modern foundation models. How to identify temporal flicker, corneal reflections, and physics anomalies.
Forensic breakdown of neural voice synthesis. How to identify vocoder buzzing, micro-prosodic uniformity, and conversational latency in audio scams.
Forensic breakdown of face-swap detection. How to evaluate face mask boundaries, corneal catchlights, lighting vectors, and compression discrepancies.
A guide to digital media provenance and metadata forensics. How to analyze EXIF headers, MakerNotes, C2PA credentials, and social media stripping.
A step-by-step verification protocol to identify romance scammers and catfish profiles. Covers reverse biometric search, VoIP carrier checks, and gesture challenges.
Technical analysis of generator fingerprints across Midjourney, Flux, and Stable Diffusion. How to identify VAE artifacts, frequency spikes, and architectural tells.
An in-depth investigation into pig butchering scam compounds. How criminal syndicates deploy fake trading platforms, manipulate victims, and launder crypto.
Why a clean forensic scan does not mean a dating profile is genuine. How stolen authentic photo sets bypass AI detectors, and why safety requires the forensic-to-behavioral bridge.
A step-by-step guide to removing unauthorized AI deepfakes and intimate imagery under the federal TAKE IT DOWN Act. Covers StopNCII hashing and DMCA notices.
Latency, callbacks, refusals, voice notes, live context, typos, image and video forensics, and the money test — nine practical ways to unmask an AI pretending to be a person.
The exact five-step procedure: run the photo through a free AI checker, reverse-search it across the web, read the metadata signal, escalate to video, and automate it with a right-click.
In-memory processing, zero training on customer files, and digital provenance. The architecture behind AI media forensics.
