How I Built a Memory-Safe Steganography Engine in Rust to Protect Data from AI Scrapers

How I Built a Memory-Safe Steganography Engine in Rust to Protect Data from AI Scrapers As AI models scale, data provenance is becoming a massive engineering challenge. Automated web scrapers are vacuuming up datasets without any regard for creator licenses or intellectual property. I wanted to build a mathematical solution to this problem, so I architected Sigil: a zero-knowledge cryptographic vault that embeds verifiable, HMAC-SHA256 signed ownership IDs directly into the pixels of an image. While the desktop vault (built with Tauri, Svelte, and an offline SQLite daemon) is strictly closed-source to protect the cryptographic keys, I realized that "Security by Obscurity" isn't enough. If AI companies don't know how to read the hidden IDs, they will just scrape the images anyway. So, I open-sourced the extraction layer. Here is a deep dive into how I used Rust to build a memory-safe Least Significant Bit (LSB) steganography reader. The Concept: LSB Steganography Every pixel in a standa