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§ I · Domain INP · Control 6 of 10
Control
INP-06
Edition
v.1.3
Status
Public review

INP · Input & Prompt Security

INP-06Input size and complexity limits

Input size and complexity limits are enforced to prevent context-window flooding and denial-of-service.

Limits on input size and complexity, token counts, nesting depth, attachment counts, are enforced to prevent context-window flooding, resource exhaustion, and denial-of-service attacks. The limits are tuned to the agent's operating envelope and are enforced before the input reaches the model.

Table INP-06.1 · Maturity criteria · v.1.3

L1 to L5 · the lowest level in scope caps the agent
L1Ad hoc

Controls exist informally; documentation is incomplete; no consistent review.

L2Documented

Controls are written down; ownership is assigned; review cadence is defined.

L3Operated

Controls are followed in practice; evidence is collected; deviations are tracked.

Limits are documented and enforced for all input paths; limit values are tuned to the agent's operating envelope; limit-exceeded events are logged and reviewed.

L4Measured

Control effectiveness is measured against documented thresholds; trends are reported.

L5Continuously Improved

Controls evolve based on incident learning; maturity gains are evidenced over time.

The v1.3 edition publishes a control-specific criterion at L3 (Operated). The other levels apply the general ladder to this control; see the maturity ladder.

Evidence an assessor asks for

  1. E.1

    Limits are documented and enforced for all input paths.

  2. E.2

    Limit values are tuned to the agent's operating envelope.

  3. E.3

    Limit-exceeded events are logged and reviewed.

Table INP-06.2 · Framework mappings

4 of 7 frameworks carry a control-level reference
NIST AI RMF·NIST AI Risk Management Framework 1.0
ISO/IEC 42001·ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10LLM05OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)A1.1AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 15(4)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeMAIGF Security, AI Verify RobustnessSingapore Model AI Governance Framework / AI Verify / PDPA

Mappings are directional: meeting this control evidences but does not by itself satisfy the external requirement. A middle dot means no control-level reference is published at this edition; see the crosswalk.

Cite this control

Human Intelligence. HI-AAF v1.3, INP-06 Input size and complexity limits. Public review edition, July 2026. https://humanintel.net/standard/inp/inp-06

Edition v.1.3 · July 2026 · Public review · Markdown · PDF

https://humanintel.net/standard/inp/inp-06

Notice

HI-AAF v1.3 is an independent framework published by Human Intelligence. It is not affiliated with NIST, ISO, AICPA, or any government or accreditation body. The framework is offered openly for review during the current draft cycle.