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SynapseSec secures brain-computer interface signal data end-to-end — AES-256 encryption, HMAC device authentication, and real-time anomaly detection that catches injection, replay, and flatline attacks, all visualized in a live browser dashboard. Runs on simulated EEG data, but every operation genuinely works. Built by a student in Pakistan with zero prior engineering background, to learn security engineering by building something real instead of just reading about it.
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.
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About SynapseSec — Neural Signal Security on Product Hunt
“cybersecurity, BCI, brain computer interface, ”
SynapseSec — Neural Signal Security was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #85 on the daily leaderboard. SynapseSec secures brain-computer interface signal data end-to-end — AES-256 encryption, HMAC device authentication, and real-time anomaly detection that catches injection, replay, and flatline attacks, all visualized in a live browser dashboard. Runs on simulated EEG data, but every operation genuinely works. Built by a student in Pakistan with zero prior engineering background, to learn security engineering by building something real instead of just reading about it.
SynapseSec — Neural Signal Security was featured in Design Tools (261.3k followers), Privacy (11.2k followers), Tech (628k followers) and Vercel Day (26 followers) on Product Hunt. Together, these topics include over 215.4k products, making this a competitive space to launch in.
Who hunted SynapseSec — Neural Signal Security ?
SynapseSec — Neural Signal Security was hunted by SynapseSec. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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