Cross-Framework Mapping

NIST Cybersecurity Framework 2.0vsAutomotive SPICE (ASPICE) v4.0 - Process Assessment Model

See exactly how NIST Cybersecurity Framework 2.0 controls map to Automotive SPICE (ASPICE) v4.0 - Process Assessment Model. Pre-computed mappings, identified gaps, and coverage analysis.

16
Controls Mapped
90
Gaps Found
6%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST Cybersecurity Framework 2.0 maps to Automotive SPICE (ASPICE) v4.0 - Process Assessment Model with 6% coverage across 6 directly mapped controls. Analysis of 106 NIST Cybersecurity Framework 2.0 controls identifies 100 compliance gaps — primarily concentrated in GV - Govern.

Source: TheArtOfService Knowledge Graph | 106 controls analysed | 718 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 16 of 16 mapped controls across 4 domains. Sign up to explore all 332K+ mappings across 718 frameworks.

DE - Detect(4 mappings)

NIST-CSF-DE.AE-08Incidents are declared when adverse events meet defined criteria4 targets
MLE.1Machine Learning Requirements Analysis
MLE.1Machine Learning Requirements Analysis
MLE.3Machine Learning Training
MLE.3Machine Learning Training

GV - Govern(2 mappings)

NIST-CSF-GV.SC-01Cybersecurity supply chain risk management program is established2 targets
ACQ.4Supplier Monitoring
ACQ.4Supplier Monitoring

ID - Identify(4 mappings)

NIST-CSF-ID.AM-04Inventories of services provided by suppliers are maintained2 targets
ACQ.4Supplier Monitoring
ACQ.4Supplier Monitoring
NIST-CSF-ID.RA-10Critical suppliers are assessed on the basis of their risk2 targets
ACQ.4Supplier Monitoring
ACQ.4Supplier Monitoring

PR - Protect(6 mappings)

NIST-CSF-PR.AA-05Access permissions, entitlements, and authorizations are defined and managed4 targets
MLE.1Machine Learning Requirements Analysis
MLE.1Machine Learning Requirements Analysis
MLE.3Machine Learning Training
MLE.3Machine Learning Training
NIST-CSF-PR.PS-01Configuration management practices are established and applied2 targets
SUP.8Configuration Management
SUP.8Configuration Management

Related Comparisons

Other NIST Cybersecurity Framework 2.0 comparisons

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

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What are the key differences between NIST Cybersecurity Framework 2.0 and Automotive SPICE (ASPICE) v4.0 - Process Assessment Model?

NIST Cybersecurity Framework 2.0 has 106 controls across its framework, while Automotive SPICE (ASPICE) v4.0 - Process Assessment Model covers 31 controls. Direct mapping analysis identifies 6 overlapping controls (6% coverage). The frameworks diverge most significantly in GV - Govern, where 27 NIST Cybersecurity Framework 2.0 controls have no direct Automotive SPICE (ASPICE) v4.0 - Process Assessment Model equivalent.

How many controls map between NIST Cybersecurity Framework 2.0 and Automotive SPICE (ASPICE) v4.0 - Process Assessment Model?

Of 106 total NIST Cybersecurity Framework 2.0 controls, 6 map directly to Automotive SPICE (ASPICE) v4.0 - Process Assessment Model controls — representing 6% coverage. The remaining 100 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST Cybersecurity Framework 2.0 to Automotive SPICE (ASPICE) v4.0 - Process Assessment Model?

100 NIST Cybersecurity Framework 2.0 controls have no direct equivalent in Automotive SPICE (ASPICE) v4.0 - Process Assessment Model. The highest concentration of gaps is in GV - Govern with 27 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 NIST Cybersecurity Framework 2.0 and Automotive SPICE (ASPICE) v4.0 - Process Assessment Model?

The domain with the highest gap count is GV - Govern (27 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.