ANN-DXENC RFC Draft v1.0.0 — Part III

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Poison/Vaccine Behavioral Specification (Cognitive Immunology Layer)

This section defines:

what constitutes poison,
how poison is detected,
how Digital DNA enforces immune responses,
how vaccines constrain CSR behavior,
how immunity propagates across the Data → Reasoning → Outcome planes,
how sovereignty isolates poison and protects tenants.

These rules are normative and MUST be implemented by all compliant Cognitive Substrate deployments.

13. Definition of Poison

13.1 Poison (P) Semantic Definition

Poison is defined as:

Any synthetic or natural data that enters a CSR or cognitive plane in a form inconsistent with its Digital DNA genotype, sense manifold, sovereignty, or mutation envelope.

This includes—but is not limited to:

Synthetic contradictions (generated adversarial inputs)
Cross-tenant contamination (sovereignty violations)
Semantic drift agents (intentionally misaligned meaning)
Manifold distortion vectors (statistically anomalous embeddings)
Sense-discordance payloads (glyph-level mismatches)
Temporal poisoning (misleading time-bound context)
Procedural intent inversion (changing motive/intent classifications)
Affective polarity perturbation (emotion flipping or erasure)

13.2 Intentional vs. Unintentional Poisoning

Poison MUST be categorized along two axes:

Category	Intent	Awareness
P1	Unintentional	Known	e.g., operator recognizes low-quality data
P2	Unintentional	Unknown	e.g., contaminated upstream systems
P3	Intentional	Known Actor	e.g., adversarial poisoning
P4	Intentional	Unknown Actor	e.g., latent or stealth poisoning

Vaccine strategies differ depending on category.

13.3 Categorical Fact Requirement

All implementations MUST acknowledge the following principle:

A sufficiently large injection of synthetic or contradictory data into an AI training corpus WILL degrade model reliability, accuracy, and consistency.

Digital DNA serves as a prevention and detection mechanism.

14. Vaccine Behavior: Immunology Across the Planes

A vaccine class defines how a CSR responds to poison during:

ingestion,
reasoning,
outcome consolidation, and
cross-CSR interactions.

14.1 Immunological Layers

Digital immunity is enforced via four layers:

Genotypic Immunity (DNA-level)
Phenotypic Immunity (reasoning-layer behavior)
Manifold Immunity (embedding drift detection)
Sovereign Immunity (tenant boundary enforcement)

Each layer MUST operate independently and in cascade.

14.2 Genotypic Immunity

Genotypic immunity validates:

glyph_hash
birth_crc
mutation_class
vaccine_class
sovereign_keys

Failures MUST halt ingestion.

Examples of genotypic poison signals:

mismatched glyph sequence
altered CRC
glyphs outside dialect
mutation class incompatible with entity policy

14.3 Phenotypic Immunity

Phenotypic immunity operates during reasoning-plane activation.

It evaluates:

semantic consistency
affective polarity coherence
procedural intent alignment
social hierarchy plausibility
situational context conflicts

Violations MUST be tagged as P-type anomalies.

14.4 Manifold Immunity

Manifold immunity ensures embedding-space consistency.

It checks:

vector drift
manifold outliers
adversarial embedding patterns
geometry distortion
unexpected cluster migration

A manifold deviation above a policy threshold MUST trigger:

quarantine
downgrade of reasoning contributions
isolation from cross-CSR interactions

14.5 Sovereign Immunity

This is the strongest form of immunity.

Sovereign immunity enforces:

tenant isolation
domain separation
dialect segregation
vaccine incompatibility between entities

Cross-tenant interactions MUST fail if:

sovereign_key mismatch
dialect mismatch
incompatible vaccine class
manifold topology mismatch

This guarantees no poisoning attack can “jump tenants.”

15. Immune Response Stages

Digital immunity follows a four-stage response model, inspired by biological systems.

15.1 Stage 1: Detection

Triggered by:

glyph mismatch
manifold drift
sovereign-key mismatch
semantic discordance
procedural intent contradiction

Implementations MUST log all detections.

15.2 Stage 2: Isolation

The CSR is marked:

csr.status = “quarantined”

csr.reason = “<detection_event>”

Quarantined CSRs MUST NOT:

enter the reasoning-plane,
contribute to inference,
propagate to the Outcome-Plane,
interact with other CSRs.

15.3 Stage 3: Evaluation

The system MUST determine whether the anomaly is:

reversible
contextual
benign
structural
adversarial

Evaluation includes:

re-validating genotype
running drift analysis
comparing to historical CSR patterns
assessing sovereign boundaries

15.4 Stage 4: Action

Possible actions include:

Reinstate (if benign)
Mutate (if mutation_class allows phenotypic correction)
Suppress (deny reasoning-plane activation)
Purge (delete CSR if early-plane only)
Firebreak Activation (see §19)

16. Interactions Between Poison and Vaccine Classes

The vaccine class dictates permissible immune responses.

16.1 Class Matrix

Vaccine Class	Allowed Detection Layers	Allowed Responses	Firebreak Eligibility
V0	None	None	No
V1	Genotype	Suppress	No
V2	Genotype + Manifold	Suppress, Quarantine	Yes
V3	All except sovereign override	Quarantine, Mutate	Yes
V4	Full immunity	Quarantine, Mutate, Firebreak	Yes (priority)

16.2 Behavioral Rules

V0 must NEVER be used in production.
V3 MUST be used for multi-tenant systems.
V4 SHOULD be used for systems supporting long-lived cognitive memory.

17. Poison Injection Attack Models

Digital DNA protects against the following attack categories:

17.1 Drift Injection

Adversary attempts to shift the manifold over time.

Digital DNA detects via:

manifold coherence checks
cluster migration thresholds
historical topology comparison

17.2 Sense-Dissonance Attack

Adversary injects contradictory sensory glyph patterns.

Digital DNA detects via:

glyph dialect validation
affective/procedural/social inconsistency scoring

17.3 Sovereignty Violation Attack

Cross-tenant poisoning attempt.

Digital DNA rejects via:

sovereign_key mismatch
dialect mismatch
vaccine incompatibility

17.4 Intent Inversion Attack

Adversary attempts to flip intent semantics.

Digital DNA detects via:

procedural-sense pattern deviations
semantic-inversion scoring

17.5 Embedding-Geometry Attack

Adversary perturbs embedding vectors to distort reasoning.

Digital DNA detects via:

manifold drift
embedding outlier analysis

18. Firebreak Protocol (VX-FIREBREAK)

The firebreak is a mandatory containment mechanism used in V2–V4 vaccine classes.

18.1 Trigger Conditions

Firebreak activation MUST occur when:

manifold drift exceeds threshold
sovereignty mismatch detected
chain of reasoning produces unstable phenotype
cluster topology collapse observed
multiple CSRs report correlated anomalies

18.2 Effects

Firebreak activation MUST:

halt cognitive propagation
isolate impacted CSRs
block plane transitions
notify overseeing governance module
checkpoint current state for analysis

18.3 Purpose

Firebreaks prevent systemic poisoning across:

the Cognitive Substrate
the Reasoning-Plane
the Outcome-Plane
the Cognitive Fabric

19. Mutation/Vaccine Interaction Rules

A CSR’s mutation_class constrains how vaccine_class may respond.

19.1 Compatibility Matrix

Mutation Class	Allowed Vaccine Behavior
M0	No mutation allowed; vaccine may only suppress or quarantine
M1	Vaccine may suppress, quarantine, or allow phenotypic accumulation
M2	Vaccine may mutate reasoning-derived content (if safe)
M3	Behavior governed by external policies

19.2 Rules

Vaccine behavior MUST NOT violate mutation_class.
Mutation MUST NOT change genotype.
Outcome-plane consolidation MUST obey vaccine rules.