Neurosecurity
Definition
Synthesis by DeepSeek, prompted by Michel Bauwens:
Neurosecurity is the application of computer science security principles and methods to neural engineering, with the goal of protecting the confidentiality, integrity, and availability of neural devices from malicious parties in order to preserve the safety of a person's neural mechanisms, neural computation, and free will.
A broader conceptualisation distinguishes neurosecurity from brain data security. Neurosecurity encompasses a wider range of protection measures, including physical and ethical aspects—it refers to the comprehensive protection of the brain and its functions against external threats, ensuring the physical security of implanted devices, protection against electromagnetic interference, and the integrity of mental processes. In contrast, brain data security focuses exclusively on safeguarding neural data through encryption, authentication, and anonymisation.
The concept emerged in the academic literature in 2009 with the publication of "Neurosecurity: security and privacy for neural devices" in Neurosurgical Focus, which defined the term and argued that neurosecurity should be a critical consideration in the design of future neural devices. Earlier, Jonathan Moreno had used "neurosecurity" to refer to the intersection of neuroscience and the military.
Typology
Neurosecurity addresses threats arising from the increasingly intimate coupling of human brains and computers. Its scope spans several dimensions:
Physical Security of Neural Devices
Invasive neural interfaces require surgical implantation, creating vulnerabilities at the hardware level. Researchers have identified exploitable vulnerabilities at every stage of the brain-computer interface (BCI) process, from signal acquisition to signal classification. Over 70% of neurotech devices exhibit exploitable vulnerabilities. Pacemakers and insulin pumps have been hackable for over a decade, and sponsored hackathons and penetration-testing trainings on bio and BCI systems have been promoted for nearly as long, indicating a significant population of individuals skilled in exploiting these devices.
Data Integrity and Confidentiality
BCIs process neurodata—neural signals that can reveal thoughts, emotions, and intentions. This data is highly sensitive, and current BCI frameworks relying on centralised servers and traditional encryption are vulnerable to data breaches and manipulation. Security researchers have proposed privacy-preserving methods including federated learning and perturbative techniques that maintain utility while ensuring privacy.
Brain Reading and Writing
A central conceptual framework in neurosecurity is the distinction between reading from and writing to the brain.
Reading the brain involves recording from large assemblies of neurons and decoding their activity to extract information. This includes neural recordings, DNA sequencing, web traces, eye movements, and other physiological signals. Writing to the brain involves stimulating neural tissue and influencing ongoing processing. Recent advances have made both directions increasingly feasible, paving the way for advanced neurotechnological applications that directly read from and write to the human brain.
While such technologies are still primarily used in restricted therapeutic contexts, this may change once their performance improves and they become more widely applicable. The transition from therapeutic use to cognitive enhancement in healthy individuals marks a critical threshold: the human brain becomes a hackable object not only for medical intervention but for augmentation, manipulation, and control.
It is important to note that "hacking" the brain is not entirely novel. Education, social conditioning, and cultural transmission have always shaped neural processes. The qualitative shift lies in the transition from artisanal, slow-acting, and socially mediated forms of influence to the use of powerful, precise, and potentially covert NBIC (nano-bio-info-cogno) tools that can directly interface with neural activity in real time.
Characteristics
Emerging Attack Vectors
Beyond conventional cybersecurity threats, neurosecurity must contend with attack vectors unique to neural interfaces:
- Thought injection: A malicious command disguised as a genuine neural instruction.
- Consciousness leakage: A potential phenomenon whereby private thoughts are inadvertently broadcast.
- Security drift: The brain's neuroplasticity causing a system to misinterpret a user's evolving thought patterns.
- Neuro-linguistic hacking: Embedding malicious commands in everyday language.
- Temporal lobe exploitation: Manipulation or extraction of memories.
Governance
... and Policy Frameworks
Neurosecurity governance addresses a significant gap: neuroethics defines what should and should not be done with BCIs, neuroscience explains the biological mechanisms, and cybersecurity provides operational defences—but none of these fields alone covers the full problem. Neuroethics can articulate that mental privacy matters but cannot detect a P300 interrogation attack in real time; neuroscience can explain how temporal interference reaches deep brain structures but does not score the severity or map the attack chain.
The World Economic Forum has argued that a comprehensive security and governance framework is essential to protect identity and foster trust while unlocking neurotechnology's capabilities. A layered ecosystem of security measures—including data governance, technical resilience, and effective regulations—is crucial. Current regulations are inadequate, particularly for consumer devices.
Proposals for addressing the governance gap include:
- An International Neuro-Rights Convention—a global agreement to protect rights such as mental privacy and neurological self-determination.
- A Global Neuro-Digital Regulatory Body to set international security standards and mediate disputes.
- Adaptive regulatory frameworks that can evolve with the technology rather than relying on traditional static approaches.
- Integration of neurosecurity into existing GRC (Governance, Risk, and Compliance) frameworks, learning from information security's experience where compliance was retrofitted onto existing infrastructure decades after the internet shipped—resulting in frameworks that lag years behind threats.
More information
References
Denning, T., Matsuoka, Y., & Kohno, T. (2009). Neurosecurity: security and privacy for neural devices. Neurosurgical Focus, 27(1), E7.
Ruiz-Vanoye, J. A., et al. (2024). Brain Data Security and Neurosecurity. [Zenodo record 18045355].
World Economic Forum. (2025). The neurosecurity stack: How we balance neurotechnology's opportunity with security.
Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life Sciences, Society and Policy, 13(1), 5.
Roelfsema, P. R., Denys, D., & Klink, P. C. (2018). Mind Reading and Writing: The Future of Neurotechnology. Trends in Cognitive Sciences, 22(7), 598–610.
IGF 2026 WS #410. Securing Neuro-Rights and Cognitive Liberty in AI Era.