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Governance Map

Your Brain Has Rights.
Here's How We Protect Them.

GRC (Governance, Risk, and Compliance) was retrofitted onto IT security decades after the internet shipped. The result: compliance that lags threats. We are building governance into BCI security from day one.

Ethical Foundations

Governance of neurotechnology doesn't start from scratch. It stands on 47 years of biomedical ethics, extended by neurorights scholars when existing principles proved insufficient for technology that interfaces with cognition itself.

Why We Protect 1979

Principles of Biomedical Ethics

Beauchamp & Childress established four principles that became the operating system for medical ethics: autonomy (patient decides), beneficence (do good), non-maleficence (don't harm), and justice (be fair). Every IRB, clinical trial, and medical ethics committee runs on this framework.

Beauchamp TL, Childress JF. Principles of Biomedical Ethics, 8th ed. Oxford University Press, 2019.

applied to neurotechnology, found insufficient
What We Protect 2017

Neurorights

Ienca & Andorno and Yuste et al. independently argued that the four principles alone can't protect patients when technology interfaces with cognition itself. Autonomy assumes you can think freely before deciding — but a BCI that modifies cognition breaks that assumption. New rights were needed: mental privacy, cognitive liberty, mental integrity, and psychological continuity. Chile enshrined them in its constitution in 2021 — the first country to do so.

Ienca & Andorno, Life Sciences, Society and Policy, 2017 · Yuste et al., Nature 551, 2017 · Farahany, The Battle for Your Brain, 2023 · UNESCO Recommendation on the Ethics of Neurotechnology, 2025

operationalized through
How We Protect 2025

QIF Technical Controls

Rights without enforcement are aspirational. QIF provides the technical implementation: NISS quantifies neural harm (non-maleficence, measurable), the TARA Atlas catalogues 161 threat techniques, the Neural Impact Chain traces attacks to clinical outcomes, and signal integrity analysis (future work) will detect provenance violations in real time.

From Principle to Protocol

Each ethical principle extends into a neuroright, which QIF operationalizes through a technical control.

Ethical Principle Neuroright QIF Control Why Extension Was Needed
Autonomy Cognitive Liberty Consent framework, governance layer Autonomy assumes free thought. BCIs can compromise the thinking itself
Non-maleficence Mental Integrity, Mental Privacy NISS scoring, signal integrity analysis (future work) Neural harm can be invisible, irreversible, and undetectable by the patient
Beneficence Therapeutic dual-use boundary 78/135 dual-use mapping Same mechanism treats Parkinson's and causes involuntary activation. Boundary is consent, not mechanism
Justice Equitable access (governance principle) Open-source framework, Apache 2.0 BCI safety cannot be proprietary. Equitable access is a governance commitment, not a separate neuroright — it is implied by treating the four rights as universal

The Institutional Landscape

23 frameworks from 12+ institutions worldwide converge on the same four themes. Every one answers why or what. None answer how.

Columbia

NeuroRights Foundation

Stanford

Law & Biosciences

UPenn

Neuroscience & Society

ETH Zurich

Health Ethics & Policy

UNESCO

194 member states

OECD

38 member states

WHO

Global health body

QIF

First HOW layer

The Principles-to-Protocol Gap

47 years of neuroethics. 23 frameworks. 12 institutions. 4 ethical principles (Beauchamp & Childress). Zero technical security specifications. Like having fire safety principles without fire codes, sprinkler specs, or building inspectors. See the full landscape survey.

Proposed Neurorights

Two independent academic proposals in 2017 argued that existing human rights are insufficient to protect cognition when technology interfaces directly with the brain. Neither framework has been adopted as a binding standard. Both informed Chile's 2021 constitutional amendment and UNESCO's 2025 Recommendation.

No unified, internationally agreed-upon set of neurorights exists as of 2026. These are the two most influential proposals.

2017
Two independent proposals published

Ienca & Andorno

Life Sciences, Society and Policy, 13(1):5

4 Rights

Cognitive Liberty

The right to freedom of thought and to accept or refuse neurotechnology. Protects the mental sphere from unauthorized external influence.

Mental Privacy

Protection of brain data from unauthorized collection, storage, use, or deletion. Neural information should not be accessed without consent.

Mental Integrity

Protection from non-consensual modification of brain activity or mental processes by third parties through neurotechnology.

Psychological Continuity

Protection of personal identity from unauthorized alterations to neural substrates that could change personality, preferences, or sense of self.

Approach: Grounded in existing international human rights law (ICCPR, ECHR). Most-cited paper in neurorights scholarship. Directly cited in Chile's 2021 constitutional reform.

DOI: 10.1186/s40504-017-0050-1

Yuste et al. (25 authors)

Nature, 551:159–163

4 Priorities

Privacy & Consent

Neural data should be kept private. Consent protocols for brain data should be at least as strict as those for organ donation.

Agency & Identity

Individuals must retain ultimate control over their own neural activity. Neurotechnology must not compromise the user's sense of self or decision-making.

Augmentation

Guidelines should ensure equitable access to cognitive enhancement. Neural augmentation should not deepen social inequalities.

Bias

Counter-measures should be built to prevent algorithmic bias in neurotechnology from perpetuating discrimination.

Approach: Framed as ethical priorities, not formal rights. Published in Nature with 25 co-authors. Launched the NeuroRights Foundation at Columbia University. Drove Chile's legislation and UNESCO's process.

DOI: 10.1038/551159a

2021
Yuste framework updated to 5 formal rights

Yuste, Genser & Herrmann

Horizons, 18:154–164 · NeuroRights Foundation

5 Rights

Mental Privacy

Brain data protected from unauthorized access

Personal Identity

Sense of self cannot be altered without consent

Free Will

Autonomous decision-making must be preserved

Fair Access

Equitable access to cognitive augmentation

Bias Protection

Algorithmic discrimination must be prevented

How the Two Frameworks Map to Each Other

Ienca & Andorno (2017) Yuste et al. (2017 → 2021) Overlap
Cognitive Liberty Free Will Same concept
Mental Privacy Mental Privacy Direct match
Mental Integrity Personal Identity Partial overlap
Psychological Continuity Unique to Ienca
Fair Access to Augmentation Unique to Yuste
Protection from Algorithmic Bias Unique to Yuste

Neither taxonomy has been adopted by any standards body. Bublitz (2022) argues existing rights suffice; Kellmeyer (2022) notes "mental privacy" and "mental integrity" lack agreed operational definitions. QIF uses the Ienca & Andorno framework for engineering operationalization because its rights map more directly to measurable signal properties.

Proposed Neuroethics Principles

Five proposed principles for equitable neurotechnology, bridging existing neurorights scholarship with the technical realities of BCI vision restoration, digital accessibility, and the enhancement trap.

DRAFT v0.2 — Proposed by Kevin Qi, March 2026. Not peer-reviewed, not institutionally endorsed. Subject to revision after advisor feedback and institutional review.

I

Equity Before Enhancement

Those who need neurotechnology most should not be last in line.

Clinical restoration carries a moral priority over elective enhancement — grounded in Beauchamp and Childress's principle of justice (2019), Yuste's "fair access to cognitive augmentation" (2021), and the UN CRPD (Art. 9). The obligation is already written into the instruments we have signed. What they lack is the enforcement mechanism and the will to sequence.

II

Digital Accessibility Is a Neurorights Obligation

If blind people are starting to see, how do we let them see the world AND the internet clearly?

BCI-restored vision produces discrete phosphenes — not continuous imagery (Brindley & Lewin, 1968; Fernandez et al., 2021). No device produces controlled color (PMC11221215, 2024). Current accessibility standards (WCAG 2.2, ADA Section 508) assume you either see or you don't. We have created a third perceptual paradigm and built zero infrastructure for it. The starting point may be the hardest: rendering legible text through a sparse phosphene array. If that can be solved, the rest of the digital world can build around it using existing technologies (OCR, scene understanding, vector-based rendering). Under the CRPD and UNESCO's 2025 Recommendation, the obligation to address this already exists. (See full working paper for a theoretical technical note on this direction.)

III

Perceptual Sovereignty

Whoever controls the rendering pipeline controls reality.

No entity should have unilateral control over the content rendered to a BCI patient's visual cortex without informed, ongoing, and revocable consent. This extends existing neurorights — cognitive liberty, mental privacy, and mental integrity — to the input channel: the content delivered to the brain, not just the signals altered within it. This distinction requires further philosophical and legal analysis to determine whether it constitutes a genuinely new concept or is derivable from existing mental integrity frameworks (Kellmeyer, 2022).

IV

The Right to Remain Unaugmented

Equal access means the option is available. It does not mean the option is mandatory.

If neurotechnology confers cognitive or sensory advantages beyond baseline, economic and social pressure could push adoption from voluntary to effectively compulsory. Ienca and Andorno's Cognitive Liberty protects the decision to refuse — but not the person from the consequences of that decision in a world that has moved on. No individual should face discrimination for choosing not to adopt neurotechnology. Bublitz (2022) warns against rights inflation; this protection may be derivable from Cognitive Liberty if properly interpreted. The point is to operationalize what the existing principle implies but does not yet enforce.

V

From Protection to Obligation

Security without ethics is surveillance. Ethics without security is aspiration. You need both, or you have neither.

Existing neurorights proposals are defensive: do not read, do not write, do not coerce, do not alter. If neurotechnology can restore lost function, and if the instruments we have signed commit us to equity and accessibility, then there is a constructive obligation: ensure the benefits reach those who need them. Not as charity. As a design requirement built in from day one. The CRPD, the UDBHR, the UNESCO Recommendation, and Chile's Law 21.383 already contain this obligation. The question is whether we act on it before the technology outpaces the governance.

These principles draw on Beauchamp & Childress (2019), Ienca & Andorno (2017), Yuste et al. (2017/2021), the UN CRPD, UNESCO's 2025 Recommendation, Chile's Law 21.383, and Morse's neuromodesty framework (2006). Cross-AI reviewed against neuroethics guardrails (11/11 checks passing). 20 citations in full document.

Read the full working paper with references and methodology

QIF Operationalization

QIF operationalizes the Ienca & Andorno (2017) framework because its four rights map to measurable signal properties. Two rights — Mental Privacy and Mental Integrity — have engineering-level specifications derived from 161 attack techniques. The other two are mapped but not yet operationalized.

The distinction that matters

We are building systems that can inject, simulate, or reshape neural signals. Our governance models must distinguish between "unaltered" (was the signal tampered with?) and "self-originating" (was the signal generated by the user's brain?). Current neurorights frameworks protect against modification but not adversarial substitution. QIF closes this gap.

Mental Privacy (MP) protects against reading your neural data — exfiltration, surveillance, and re-identification across datasets. QIF extends MP with data-lifecycle protections: cross-modal re-linking, anonymization failure, and informational disassociation.

Mental Integrity (MI) protects against writing into your neural signals — injection, implanted thoughts, confusion of agency, and signal dynamics disruption. QIF maps this to the CIA triad: MP = Confidentiality (don't read), MI = Integrity (don't write). QIF extends MI with two engineering primitives: modification detection (was the signal tampered with?) and provenance verification (did the signal originate from the user's brain?). Signal integrity analysis (future work) will operationalize provenance by measuring whether a signal's statistical properties match the user's baseline neural signature. An injected signal that passes integrity checks but was never generated by the user violates MI's provenance guarantee — attacks like gradual drift (T0062) and baseline adaptation poisoning (T0071) exploit exactly this gap.

Why extension, not a new right? Early QIF work explored proposing Cognitive Authenticity as a distinct neuroright covering signal provenance. Cross-framework analysis (Ienca & Andorno, Yuste, Chile NeuroDerechos, UNESCO, Farahany, Bublitz) showed that provenance is not a philosophically distinct right — it is an engineering property required to operationalize Mental Integrity in BCI systems. Multiplying rights without philosophical warrant risks rights inflationism (Bublitz, 2022). QIF chose depth over breadth: extending MI with verifiable mechanisms rather than adding a category that existing rights already cover in principle.

Click any card below to see the highest-impact threats for each right.

How We Protect Them

Governance

Neurorights policies, informed consent frameworks, ethics alignment. The rules that define what's allowed before the first electrode touches tissue.

Risk

161 threat techniques scored with NISS. Physics-derived severity, DSM-5-TR diagnostic category references for threat modeling, dual-use risk-benefit analysis.

Compliance

FDORA/FDA crosswalk, NIST SP 800-53 controls, ISO 27001 mapping, UNESCO alignment. Machine-verifiable where possible.

How Security GRC Works

This cycle drives IT security. For BCIs, it breaks at step 1: the external forces barely exist.

1. External Forces Set Requirements

HIPAA, PCI-DSS, SOX, GDPR, NIST CSF, ISO 27001, SOC 2

2. GRC Translates Into Policy

Maps requirements to controls, writes policies, maintains risk register

3. Security Engineering Implements

Firewalls, encryption, access management, monitoring, detection

4. GRC Audits Adherence

Evidence collection, gap analysis, audit prep, remediation tracking

loops back to step 1

The BCI Security Delta

GRC Step IT Security (Mature) BCI Security (Today) Gap
Requirements HIPAA, PCI-DSS, GDPR, FedRAMP FDA 510(k) covers safety, not neural cybersecurity. FDORA Sec. 3305 is closest. No neural-specific regulations
Policy NIST CSF, ISO 27001, CIS Controls Generic controls exist but lack neural metrics (tissue damage, cognitive integrity) No neural-aware frameworks
Implementation Firewalls, IDS/IPS, SIEM, IAM No commercial BCI security tools, neural firewalls, or BCI encryption protocols Everything built from scratch
Audit SOC 2 auditors, PCI QSAs, HIPAA assessors No BCI security auditors, no certifications, no audit criteria No one to audit against nothing

Three Domains, One Gap

BCI security sits at the intersection of three regulatory domains that do not talk to each other. Each covers part of the problem. None covers the center.

Medical Device FDA, FDORA, EU MDR Privacy & Neurorights HIPAA, State Laws, Chile IT Security Frameworks NIST, ISO, IEC 62443 Device safety Biocompatibility Consent Data rights Controls Audit FDORA Sec. 3305 (patching only) IEC 62443 (OT parallel) HIPAA Security (covered entities) THE GAP No framework covers all three

A BCI manufacturer can be FDA-cleared, HIPAA-compliant, and ISO 27001-certified and still lack specific protections against adversarial neurostimulation, neural signal tampering, or cognitive state inference. That center gap is what neurosecurity GRC fills.

The Convergence Gap

25 organizations mapped across security and neuroethics. Color-coded by how much each engages with the other domain. The pattern: deep expertise on one side, blind spots on the other.

No single organization currently bridges neurotechnology security and neuroethics governance. Security frameworks lack neural endpoints. Neuroethics frameworks lack technical controls. QIF proposes an integrated framework bridging both.

Organization Domain Neurotech Security Bridge
NIST security None Comprehensive high
ISO/IEC security None Comprehensive medium
IEEE SA security Indirect Comprehensive high
MITRE security None Comprehensive high
FIRST/CVSS security None Comprehensive high
OWASP security None Comprehensive medium
IEC 62443 security None Comprehensive medium
CISA security None Comprehensive medium
ENISA security Minimal Comprehensive medium
ISC2 security None Comprehensive low
ISACA security None Comprehensive low
PCI SSC security None Comprehensive low
UNESCO neuroethics Comprehensive None high
OECD neuroethics Direct Indirect high
Neurorights Foundation neuroethics Comprehensive None medium
International Neuroethics Society neuroethics Comprehensive None medium
BCI Society neuroethics Comprehensive Minimal medium
Berman Institute (JHU) neuroethics Direct None medium
FDA/CDRH medical Direct Indirect high
EU MDR/EMA medical Indirect Indirect medium
Chile (Law 21.383) policy Comprehensive None medium
Colorado/California policy Direct None low
IEEE Brain Initiative security Direct Indirect high
DARPA security Comprehensive Comprehensive high
EFF policy Minimal Direct medium
None Minimal Indirect Direct Comprehensive

Lessons from IT Security Adoption

Four frameworks that achieved industry-wide adoption. Each offers a pattern neurosecurity can follow.

PCI DSS

Prescriptive controls with compliance levels scaled by transaction volume drove universal adoption in payment card security, even without government mandate.

BCI parallel: Neurosecurity needs prescriptive controls scaled by device invasiveness. An EEG headband has different requirements than an intracortical implant, just as a small merchant has different PCI requirements than a payment processor.

MITRE ATT&CK

A community-driven, free, open taxonomy became the universal language for threat intelligence because it described what adversaries actually do, not what vendors sell.

BCI parallel: TARA follows the same model: MITRE-compatible IDs, open taxonomy, technique-level granularity. The BCI security community needs a shared vocabulary before it can coordinate defense.

NIST CSF

A voluntary framework achieved near-universal adoption through market pressure (customers, insurers, investors required it) rather than legal mandate.

BCI parallel: Neurosecurity GRC will likely follow the same path: voluntary adoption driven by institutional review boards, insurers, and research ethics committees before any government mandate exists.

IEC 62443

The zones/conduits model successfully bridged IT and OT security by defining trust boundaries at physical interfaces rather than network layers.

BCI parallel: QIF's hourglass model applies the same principle: define security boundaries at the physical neural interface (I0) rather than at arbitrary network layers. Biology-first segmentation.

Gap Derivation Methodology

Every component of the QIF framework was derived from the same process: take what exists, find what it misses for BCIs, and build the extension.

Exists

CVSS v3.1

Industry-standard vulnerability scoring. 8 metrics across base, temporal, and environmental groups.

Gap

No neural dimensions

Cannot score biological impact, cognitive integrity loss, consent violation, reversibility, or neuroplasticity risk.

Extension

NISS

5 neural-specific metrics added. Every TARA technique scored on dimensions CVSS cannot express.

Exists

MITRE ATT&CK

Hundreds of techniques across 14 enterprise tactics. The gold standard for IT threat modeling.

Gap

No BCI tactics or techniques

No neural injection, cognitive exfiltration, or neurostimulation manipulation in any MITRE matrix.

Extension

TARA

161 BCI techniques across 15 tactics. MITRE-compatible IDs. Dual-use therapeutic mappings.

Exists

IEC 62443 Zones/Conduits

Segments OT systems into security zones. Closest architectural parallel to BCI security.

Gap

No biological endpoints

Threat models assume industrial processes. No guidance for when a security incident causes neurological harm.

Extension

QIF 11-Band Hourglass

Neural (N7-N1), Interface (I0), Synthetic (S1-S3). Every band validated. Biology-first security.

Exists

TLS 1.3

Standard transport security. Confidentiality and integrity for data in transit.

Gap

No post-quantum, no neural validation

Vulnerable to harvest-now-decrypt-later. Neural data has decades-long sensitivity. No signal authenticity layer.

Extension

NSP

ML-KEM + ML-DSA post-quantum. 6-layer validation stack. Physics-based signal authenticity.

Exists

Ienca & Andorno Neurorights

Four rights: MP, CL, MI, PC (Ienca & Andorno, 2017). Philosophical foundation for neural governance.

Gap

No provenance verification

MI protects against modification but not adversarial substitution. No mechanism to verify a signal originated from the user's brain.

Extension

QIF MI Extension

Provenance verification via signal integrity analysis (future work). Distinguishes "unaltered" from "self-originating." Depth over inflation.

Exists

IDS/IPS (Snort, Suricata)

Network intrusion detection. Signature and anomaly-based pattern matching.

Gap

No neural signal monitoring

Network IDS cannot detect spectral anomalies, phase variance injection, or coherence degradation in EEG.

Extension

Neurowall

Real-time coherence monitoring. Spectral peak detection, CUSUM change-point analysis. 9/9 attacks detected at 30s.

The Hourglass Model

Each neuroright maps to specific bands in the QIF security model. The hourglass traces signals from the brain (N7) through the neural interface (I0) to external systems (S3). Every band is an attack surface.

Neural (N7–N1) Interface (I0) Synthetic (S1–S3)

See the Full Picture

This page maps neurorights to brain regions. To see the individual attack techniques behind each threat count — with NISS severity scores, therapeutic analogs, and DSM-5-TR diagnostic category references — explore the TARA Atlas.

TARA is the full registry: 161 techniques scored across four projections (security, clinical, diagnostic, governance). Each technique traces through the Neural Impact Chain from physical mechanism to clinical outcome. The neurorights shown here are the governance layer that sits on top.

Open TARA Atlas View all 161 techniques with full scoring and projections

This map is open. Help us stress-test it.

The QIF framework, TARA registry, and neuroright mappings are all published under Apache 2.0. We need clinicians, ethicists, and security researchers to challenge every assumption.