Project Basilisk: Fighting Back Against Unauthorized AI Training
Building a defensive tool that embeds cryptographic signatures into images to detect when your work is used to train AI models without permission.
Writing about security, systems, and learning by building
Building a defensive tool that embeds cryptographic signatures into images to detect when your work is used to train AI models without permission.
How I built a Rust-based security fuzzer to automatically detect BOLA and IDOR vulnerabilities by swapping sessions and fuzzing API endpoints.
How I built a visual workflow orchestrator in Rust that lets you chain AI models, automate tasks, and build complex pipelines - entirely offline.
Building a high-performance directory checksum tool with parallel processing, real-time monitoring, and sub-second scan times.
Starting my journey documenting cybersecurity research, systems programming, and continuous learning.
More posts coming soon. Follow along on GitHub