Forensic Analysis · Provenance · Media Integrity
19 Articles
Vol. 1 — 2026
Our research uncovered alarming findings about NCII distribution networks, failed takedown processes, and the scale of non-consensual intimate image sharing on Indian adult platforms.
A deep dive into the technical, economic, and structural reasons why Indian adult platforms fail to moderate non-consensual intimate images — and what the MeitY SOP demands.
Non-consensual intimate images destroy lives, yet India's legal and platform systems leave victims with almost no path to justice. Here's what we found.
A practical, step-by-step guide for victims of non-consensual intimate image sharing — from evidence preservation to legal action under Indian law.
A deep dive into the forensic analysis pipeline behind Sniffer — from ELA and DCT analysis to AI detection, perceptual hashing, and the MeitY SOP compliance.
A comprehensive guide to deepfakes, how they're created, their risks, and why detection matters in our digital world.
A technical deep dive into the AI systems, neural networks, and algorithms that power deepfake generation, from GANs to voice cloning.
Explore the three main deepfake techniques—face swapping, voice cloning, and synthetic video generation—and their risks to digital authenticity.
Discover common image manipulation techniques, from face replacement to AI generation, and how to verify authenticity in a visual world.
Learn how EXIF metadata reveals information about digital images, why it's crucial for verification, and how modern forensics use it to detect manipulation.
Discover how image forensics techniques analyze pixel patterns, compression artifacts, and metadata to identify manipulated photos and AI-generated content.
The Coalition for Content Provenance and Authenticity is establishing a new standard for digital media integrity. Here's what it means for journalists, creators, and platforms fighting misinformation.