What inspired you to build this? I kept seeing news about brain-computer interfaces like Neuralink moving closer to real-world use, and one thing stuck with me: nobody was really talking about how that signal data gets protected. It's literally data from your brain — arguably the most private data that could exist — and it needs serious security thinking behind it. What problem were you solving? I wanted to understand, concretely, what "securing a BCI signal" would actually look like in practice — not just in theory. Most resources I found were either too academic or too vague. So I decided the best way to learn was to build a working system myself: encryption, device authentication, and anomaly detection, all functioning end-to-end. How did your approach evolve? I started with a simple Python script that just encrypted fake EEG data. Once that worked, I realized encryption alone wasn't enough — a system also needs to know if a device is legitimate (authentication) and whether the signal itself looks suspicious (anomaly detection). So the project grew into three connected pieces instead of one. Then I built a browser dashboard so people could actually see the pipeline working instead of just reading logs in a terminal — that ended up being the most fun part, especially simulating an attack and watching the system catch it live. I had zero engineering background when I started this a few weeks ago, so honestly, a lot of the "process" was just getting stuck, learning the concept I was missing, and trying again.

SynapseSec — Neural Signal Security

cybersecurity, BCI, brain computer interface,

cybersecurity, BCI, brain computer interface,