SynapseSec β€” Neural Signal Security
cybersecurity, BCI, brain computer interface,
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"SynapseSec 2.0 β€” Neural Security" - Post-quantum security for the brain-computer interface era

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SynapseSec is a real-time security firewall for brain-computer interface (BCI) and neural signals. As neural devices grow, brain data becomes the most private data we have. SynapseSec protects it end to end: post-quantum encryption (ML-KEM-768 + AES-256), ML anomaly detection that blocks attacks in real time, and HMAC device authentication. A working, tested prototype with a live dashboard and lightweight design. Running on test signals, real hardware next. Built by a self-taught student. πŸ’š

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Hi Product Hunt! πŸ‘‹ I'm Hassaan, a self-taught student, and SynapseSec is something I built because I kept asking one question: as brain-computer interfaces and neural devices grow, who's actually protecting the signals coming from our brains? Neural data is the most private data we'll ever generate β€” it can reveal what we think, feel, and intend β€” yet it often travels with almost no security. So I set out to build a firewall for it. SynapseSec combines real post-quantum cryptography (ML-KEM-768 + AES-256), ML-based anomaly detection that blocks attacks in real time, and device authentication β€” all in a live monitoring dashboard. Everything you see is genuinely built and tested end to end. I'll be honest about where it is: it's an early prototype running on test signals, with real BCI hardware as my next step. But the foundation is real, and I built it from scratch with no formal engineering background β€” teaching myself each piece until it worked. I'd genuinely love your honest feedback, ideas, or tough questions. Thank you for checking it out!

Love that someone is actually thinking about brain data privacy before these devices become mainstream. The attack simulation feature is wild, running fake neural exploits against your own setup really drives home how vulnerable this stuff could be.

Maker

Β β€œThanks for the thoughtful comment on the attack simulation. I’m currently looking for people who understand this space to give deeper feedback or potentially try an early version. Would you be open to a short conversation?”