Defining a discipline
The interdisciplinary study of securing neural systems and understanding the neural dimensions of security. Like neuroethics, it has two branches.
Modeled after neuroethics · Roskies 2002
The ethics of neuroscience — what constraints apply to brain research?
The neuroscience of ethics — what does the brain reveal about morality?
The security of neuroscience — how do you protect neural systems?
The neuroscience of security — what does the brain reveal about what security means?
Branch I
Engineering. Protecting the systems.
How are neural devices attacked?
Signal injection, data exfiltration, adversarial stimulation, firmware manipulation, side-channel leakage. 161 documented techniques and growing. Each one cataloged, scored, and mapped to defensive controls.
What does a firewall for the brain look like?
Zero-trust at the hardware-biology boundary. Amplitude bounds that reject signals outside safe ranges. Rate limiting that prevents neural DoS. Anomaly detection on live neural streams. The same SIEM methodology used in enterprise security, applied to the brain.
Is neural data encrypted in transit?
Today, no. The most widely used BCI streaming protocol transmits raw neural data in plaintext with zero authentication. Anyone on the same network can read your brain signals. This is a discovered vulnerability, not a hypothetical.
How do you measure the impact of a neural attack?
Not just "was the device compromised" but "what was the neural effect." Amplitude disruption, frequency interference, coherence degradation. Mapping signal-level changes to clinical impact categories for threat modeling purposes.
Branch II
Philosophy. Questioning the boundaries.
Who authorized that signal to enter your brain?
When a device modulates neural activity, who authorized it? The doctor? The manufacturer? The algorithm? What does informed consent mean when the intervention operates below conscious awareness? Can you consent to something you can't perceive?
When does protection become surveillance?
A neural firewall must observe signals to protect them. It must classify patterns to detect anomalies. At what point does a security tool become a mind-reading device? The same system that detects an attack can also decode intent.
The physics are identical. The boundary is governance.
Deep brain stimulation treats Parkinson's. The same signal pattern, delivered without authorization, is an attack. Same amplitude. Same frequency. Same electrode. The difference is not technical. The difference is consent, dosage, and oversight.
If your neural patterns are modified, are you still you?
If a BCI alters your neural patterns, and someone "restores" them to baseline, who chose the baseline? What if the "attack" improved your cognition? What if the "restoration" erased a new ability? The security model presumes a self to protect. Philosophy asks what that self is.
A firewall without philosophy is surveillance.
Philosophy without engineering is speculation.
The first branch builds the tools. The second asks whether you should.
Proposed open framework for BCI threat intelligence. 161 attack techniques cataloged with severity scoring and neural impact chains.
Zero-trust at the hardware-biology boundary. Amplitude bounds, rate limiting, anomaly detection on live neural streams.
Discovered plaintext neural data transport in the most-used BCI streaming protocol. Zero authentication. Reported to maintainers.
Haptic braille learning through the same sensory channel BCIs will use for output. The encoding layer between silicon and perception.
10 GB of neural data. ASD/ADHD/IDD datasets with feature extraction pipeline. The raw material for understanding neural security in practice.
Policy bridge between technical controls and ethical constraints. Consent models, disclosure requirements, regulatory alignment.