We draw the ultimate line of defense around the human mind. Every signal encrypted, so the future of neural technology remains private, safe, and uniquely yours.
Connected devices
Simulated Bluetooth / Wi-Fi links to nearby BCI headsets
Live signal monitor
Simulated EEG waveform from the active device
SynapseSec reads across four simulated electrode channels at once, each tracking the same brain-wave bands a real EEG headset would — delta, theta, alpha, beta, and gamma. The waveform above updates in real time, the same signal that gets authenticated, encrypted, and screened every time you run the pipeline below.
Security pipeline
Run a packet through authentication, AES-256 encryption, and anomaly detection
Incident log
History of every packet processed this session
Architecture
Four checkpoints every packet passes through before it's trusted
Device authentication
HMAC-signed challenge confirms the headset is genuine before any data is exchanged.
On-device encryption
AES-256-GCM locks the signal before it ever leaves the device.
Tamper-evident transit
Any modification in transit causes decryption to fail outright, never silently.
Anomaly detection
Decrypted signals are checked against real brain-wave statistics before being trusted.
Settings
Configure how the firewall protects incoming signals
Contact & Support
Questions about how SynapseSec protects your signal
SynapseSec is a student-built neural security prototype demonstrating end-to-end protection for brain-computer interface signals — from device authentication through encryption to anomaly detection. For questions about the architecture or this demo, reach out to the project author directly, or use live chat for a quick response.