Forensic Analysis · Provenance · Media Integrity
Sniffer Research
7 Articles
Vol. 1 — 2026
What Are Deepfakes? Understanding AI-Generated Media
A comprehensive guide to deepfakes, how they're created, their risks, and why detection matters in our digital world.
How Deepfake Technology Works
A technical deep dive into the AI systems, neural networks, and algorithms that power deepfake generation, from GANs to voice cloning.
Common Types of Deepfakes: Face Swap, Voice Cloning, and Synthetic Video
Explore the three main deepfake techniques—face swapping, voice cloning, and synthetic video generation—and their risks to digital authenticity.
How Images Are Manipulated Online
Discover common image manipulation techniques, from face replacement to AI generation, and how to verify authenticity in a visual world.
Understanding Image Metadata (EXIF) and Why It Matters
Learn how EXIF metadata reveals information about digital images, why it's crucial for verification, and how modern forensics use it to detect manipulation.
How Image Forensics Helps Detect Fake Media
Discover how image forensics techniques analyze pixel patterns, compression artifacts, and metadata to identify manipulated photos and AI-generated content.
How C2PA Is Rebuilding Trust in the Age of AI-Generated Images
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.