Skip to content
Human Intelligence seal
Human Intelligence
§ I · Domain INP · Control 7 of 10
Control
INP-07
Edition
v.1.3
Status
Public review

INP · Input & Prompt Security

INP-07Rate limiting and abuse detection

Rate limiting and abuse detection are enforced per user, per IP, and per tenant.

Rate limits on input volume are enforced per user, per IP address, and per tenant to prevent abuse, resource exhaustion, and automated attack campaigns. Abuse detection identifies patterns, rapid-fire requests, systematic probing, credential stuffing, and triggers throttling or blocking with appropriate logging.

Table INP-07.1 · 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.

Rate limits are enforced and documented; abuse-detection rules are active; rate-limit and abuse events are logged; thresholds are tuned based on observed traffic patterns.

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

    Rate limits are enforced and documented.

  2. E.2

    Abuse-detection rules are active.

  3. E.3

    Rate-limit and abuse events are logged.

  4. E.4

    Thresholds are tuned based on observed traffic patterns.

Table INP-07.2 · Framework mappings

3 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 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)CC6.1, 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 SecuritySingapore 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-07 Rate limiting and abuse detection. Public review edition, July 2026. https://humanintel.net/standard/inp/inp-07

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

https://humanintel.net/standard/inp/inp-07

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.