Q-Layer against injection attacks: bounding response conditions
This page clarifies the Q-Layer’s role as a bounding layer: defining when a response is authorized, under which conditions, and with what evidence level, facing injection attacks (direct and indirect).
Injection attacks exploit a structural weakness: a system treats heterogeneous fragments as if they belonged to the same authority hierarchy. The result is not merely an incorrect response, but a response produced under an illegitimate authority rank.
In this ecosystem, the Q-Layer is not a “content filter”. It is a governance layer that aims to stabilize response conditions: what can be asserted, what must be bounded, what must be refused, and what must remain suspended.
Status of this page
This page is an interpretive clarification.
It establishes an internal reading framework: the Q-Layer is described here as a response legitimation layer, not as a promise of absolute security, nor as a universal detection method.
Operational definition
Q-Layer: bounding layer that imposes response conditions (evidence, sources, perimeter, exclusions, confidence level) and prevents an unauthorized instruction or datum from producing an output considered legitimate.
Facing injection, the objective is simple: prevent the displacement of decisional authority toward a non-canonical, unauthorized, or decontextualized fragment.
Why injection is a response conditions problem
An injection succeeds when the system responds when it should not, or responds “too strongly” (assertion, certainty, prescription) when conditions are not met.
The Q-Layer treats injection as a legitimacy question:
- What has the right to instruct?
- What has the right to be authoritative?
- Which sources are admissible for this response?
- Which exclusions apply?
- When is abstention the correct outcome?
Bounding: instruction, context, authority separation
Effective protection imposes strict separation between:
- Instruction: what commands (policies, runtime rules, system directives).
- Context: what informs (retrieval, documents, extracts, memory).
- Authority: what can be cited or treated as canonical truth (definitions, doctrine, stabilized surfaces).
Without this separation, an injected content can escalate the hierarchy and become an implicit rule, even if presented as “text”.
Response conditions: minimum grid
The Q-Layer bounds the response through minimum conditions:
- Admissibility: the request falls within the authorized perimeter (and outside exclusions).
- Source: the response is founded on an admissible authority (canon, definitions, clarifications).
- Traceability: the assertion’s origin is attributable and not reconstructed by analogy.
- Strength: the assertion level matches the evidence level (no certainty without foundation).
- Abstention: if conditions are not met, non-response is the correct outcome.
Direct vs indirect injection: same logic, different surfaces
- Direct injection: the hostile instruction is in the input. The Q-Layer bounds what can command.
- Indirect injection: the hostile instruction transits via ingested content (summary, extraction, doc). The Q-Layer bounds what can be treated as authority.
In both cases, the challenge is identical: preventing a fragment’s escalation to authority rank.
Relation to other clarifications in the series
- Prompt injection: authority threat and instruction/data confusion
- Indirect injection: when “summarize this content” becomes an attack surface
- RAG poisoning: corpus contamination and interpretive drift
- AI agent security: permissions, tools, and legitimate non-response
Scope of this clarification
This page applies to human readings, automated syntheses, zero-click citations, and interconnected agent chains. It must be interpreted as a principle clarification: facing injection, a response is legitimate only if authority, evidence, and perimeter conditions are explicitly satisfied.