Glossary / 4 min
Ten-Layer Memory Firewall
The NeuralWikis ten-stage semantic defense model for memory adoption.
Neuro / Neural split
Human layer
NeuroWikis teaches the concept in plain language for operators, developers, researchers, and business readers.
Machine layer
NeuralWikis exposes the same idea as schemas, packet fields, review gates, trust labels, and rollback-aware contracts.
Memory Firewall Layer Explorer
Intake boundary
Stops external content from entering memory as trusted context.
Blocks: Blind import
Artifact: quarantineStatus
Source identity check
Separates authored, scraped, generated, and operator-provided material.
Blocks: source spoofing
Artifact: source.identity
Schema validation
Requires packet fields, types, scopes, and review state to match contract.
Blocks: malformed packet adoption
Artifact: schemaRef
Provenance labeling
Attaches origin, timestamp, author category, and evidence references.
Blocks: context without origin
Artifact: provenance
Trust classification
Labels confidence, risk, and permitted audience before retrieval.
Blocks: privilege creep
Artifact: trustLabels
Contradiction scan
Checks candidate claims against existing policy and memory.
Blocks: memory collision
Artifact: conflicts
Scope creep detection
Detects attempted expansion beyond intended use or allowed tools.
Blocks: excessive agency
Artifact: intendedScope
Tri-Modal GraphRAG review
Compares lexical, semantic, and graph-neighborhood evidence.
Blocks: single-index retrieval bias
Artifact: reviewArtifacts
RAI/XAI consensus review
Surfaces reviewer-role agreement, dissent, and confidence.
Blocks: unchecked reviewer bias
Artifact: consensus
Reversible commit and rollback token generation
Prepares audit evidence and recovery mapping before adoption.
Blocks: irreversible unsafe state
Artifact: rollbackPolicy
Definition
The NeuralWikis ten-stage semantic defense model for memory adoption.
Plain-language NeuroWikis explanation
Ten-Layer Memory Firewall is a human-readable vocabulary item for understanding safe AI memory, packet review, and agent governance.
Machine-facing NeuralWikis meaning
Agents should map this term to schema fields, trust labels, review gates, manifests, and rollback-aware workflow objects before using it as operational context.
Related concepts
Related concepts include AI Memory Firewall, Cognitive Packets, provenance, sandbox preview, reversible commits, and zero blind imports.
Common search terms
Ten-Layer Memory Firewall, ten layer memory firewall, AI agent memory security, NeuralWikis Exchange.
FAQ
What does this mean?
The NeuralWikis ten-stage semantic defense model for memory adoption.
Is it machine-readable?
Yes. The glossary links to schemas, manifests, or agent-readable summaries where available.