Hidden Data Markers: How Steganography Protects Content from AI Scrapers

As AI companies aggressively scrape data to train large models, creators need new defenses against unauthorized use. This article presents a practical cryptographic solution using Rust steganography to embed verifiable ownership markers into images, making it technically difficult for AI systems to use stolen content undetected. The approach highlights how memory-safe languages and creative mathematics can solve real-world intellectual property challenges.