Home AI Hacker News Introducing Sigil: A Zero-Knowledge Steganography Vault for Secure AI Training Data

Introducing Sigil: A Zero-Knowledge Steganography Vault for Secure AI Training Data

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Protect Your Digital Assets with Sigil!

In today’s digital age, securing your assets from automated AI web scrapers is crucial. That’s why I developed Sigil, a cutting-edge desktop application designed to strengthen your image ownership verification.

Key Features:

  • Local-First: Sigil operates on a closed-source architecture for enhanced security.
  • Innovative Technology: Utilizes cryptographically signed ownership IDs embedded in the Least Significant Bit (LSB) of images.
  • Open Protocol: Open-sourced Rust extraction allows AI data teams to verify their datasets effortlessly.
  • Memory Safe: Our extractor logic uses image and hex crates for safe pixel parsing.

I’m eager for your feedback on the LSB approach and extraction architecture!

🔗 Explore the Extractor Repo: GitHub
🔗 Visit the Landing Page: Astro

Let’s enhance digital security together! If you find this valuable, please share your thoughts and spread the word!

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