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QIF-T0065

critical

Algorithmic psychosis induction (recommendation weaponization)

Tier 2 — Validated (Independently Replicated)

Legacy status: CONFIRMED

A recommendation algorithm profiles user psychological vulnerabilities via behavioral data (watch time, engagement patterns, emotional triggers), then systematically serves content designed to destabilize cognitive function. The attack does not require a BCI — it operates through normal sensory channels (screen → eyes → visual cortex → limbic system → prefrontal cortex). The algorithm acts as both the reconnaissance tool (profiling) and the delivery mechanism (curated feed). Documented real-world outcomes include induced psychosis, radicalization, eating disorders, and suicidal ideation in vulnerable populations. With a BCI, this attack becomes catastrophically more effective: neural state data replaces behavioral proxies, stimulation bypasses conscious filtering, and real-time feedback loops enable millisecond adaptation. This technique represents the bridge between classical social engineering and neural-direct cognitive exploitation.

Technique Details

Tactic
QIF-C.EX
Status
CONFIRMED
Bands
S3, S2, N5, N6, N7

Therapeutic Application

Weaponization of algorithmic recommendation systems to induce psychotic-like cognitive states via BCI-amplified content

Clinical Analog

Therapeutic content recommendation for mental health

Treats

  • guided therapy content
  • psychoeducation delivery
  • digital therapeutics

Neural Impact

5 of 7 neural bands affected

S3 S2 N5 N6 N7

Drag to rotate. Click a region to learn more.

Click or hover over a glowing region to see the attack techniques targeting it and their severity.

DSM-5-TR Diagnostic Mappings

Diagnostic category references for threat modeling, not diagnostic claims.

F90 ADHD F10 Alcohol-related disorders (F10) F42 OCD F95 Tic Disorders F32 Major Depressive Disorder F41.1 Generalized Anxiety Disorder F43.10 PTSD F44 Dissociative Disorders F20 Schizophrenia Spectrum F50 Eating Disorders F30 Manic episode F60 Personality Disorders F45 Somatoform disorders F63 Impulse-Control Disorders F01 Vascular dementia F43 PTSD / Trauma F80 Communication Disorders F98.4 Stereotyped movement disorders

Pathway: N7 (PFC/M1) → executive function; N6 (hippocampus/amygdala) → emotion regulation

Following Poldrack (2006), brain region disruption does not uniquely predict psychiatric outcomes.

Scoring

NISS v1.1 NISS:1.1/BI:H/CR:C/CD:C/CV:E/RV:P/NP:S
CVSS v4.0 CVSS:4.0/AV:A/AC:H/AT:P/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:H/SA:H
8.1High
PINSPINS triggers when Biological Impact is High/Critical or Reversibility is Irreversible. Indicates potential lasting harm to neural safety.
BICRCDCVRVNP
 

Governance

Neurorights at Risk

This technique threatens 4 of the 4 proposed neurorights (Ienca & Andorno, 2017).

Consent Complexity
1.35 / 4.0

FDORA §3305 Compliance

Cyber Device
Regulatory Coverage
0.4 / 1.0
524B Requirements
TM VA SBOM SA PM
Regulatory Gaps
  • ! CVSS cannot express neural-specific impacts
  • ! No FDA pathway for consumer sensor exploitation
  • ! High neural impact (NISS >= 7.0) without IEC 62443 coverage

Population Vulnerability

CRB vulnerability adjustment (γ=0.30) accounts for age, diagnosis severity, consent capacity, and device dependency.

Population NISS Base Adjusted Severity Delta
Adult (Default) 8.1 8.1 High -
Child (10yr) + ADHD 8.1 9.5 Critical +1.43
Adult with ALS 8.1 9.4 Critical +1.31

Validation Status

Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.

Qinnovate Neural Security Atlas Edit this on GitHub