Cross-Framework Mapping

Automotive SPICE (ASPICE) v4.0 — Process Assessment ModelvsNIST AI Risk Management Framework (AI RMF 1.0)

See exactly how Automotive SPICE (ASPICE) v4.0 — Process Assessment Model controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.

13
Controls Mapped
15
Gaps Found
18%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Automotive SPICE (ASPICE) v4.0 — Process Assessment Model maps to NIST AI Risk Management Framework (AI RMF 1.0) with 18% coverage across 5 directly mapped controls. Analysis of 28 Automotive SPICE (ASPICE) v4.0 — Process Assessment Model controls identifies 23 compliance gaps — primarily concentrated in Software Engineering (SWE).

Source: TheArtOfService Knowledge Graph | 28 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 13 of 13 mapped controls across 3 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Management, Acquisition, and Validation(1 mappings)

ACQ.4Supplier Monitoring
NIST-AI600-MGT-3Third-Party Dependency Management

Hardware and Machine Learning Engineering(9 mappings)

MLE.1ML Requirements Analysis4 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-01AI Performance Metrics
AIRMF-MEA-03AI Transparency and Explainability
MLE.2ML Data Management3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability
MLE.3ML Model Engineering2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics

Support Processes (SUP)(3 mappings)

SUP.11ML Data Management Support3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability

Related Comparisons

Other Automotive SPICE (ASPICE) v4.0 — Process Assessment Model comparisons

Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons

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What are the key differences between Automotive SPICE (ASPICE) v4.0 — Process Assessment Model and NIST AI Risk Management Framework (AI RMF 1.0)?

Automotive SPICE (ASPICE) v4.0 — Process Assessment Model has 28 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 31 controls. Direct mapping analysis identifies 5 overlapping controls (18% coverage). The frameworks diverge most significantly in Software Engineering (SWE), where 6 Automotive SPICE (ASPICE) v4.0 — Process Assessment Model controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

How many controls map between Automotive SPICE (ASPICE) v4.0 — Process Assessment Model and NIST AI Risk Management Framework (AI RMF 1.0)?

Of 28 total Automotive SPICE (ASPICE) v4.0 — Process Assessment Model controls, 5 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 18% coverage. The remaining 23 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Automotive SPICE (ASPICE) v4.0 — Process Assessment Model to NIST AI Risk Management Framework (AI RMF 1.0)?

23 Automotive SPICE (ASPICE) v4.0 — Process Assessment Model controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Software Engineering (SWE) with 6 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between Automotive SPICE (ASPICE) v4.0 — Process Assessment Model and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Software Engineering (SWE) (6 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.