Cross-Framework Mapping

NIST AI 600-1 Generative AI ProfilevsPhilippines Cybercrime Prevention Act (RA 10175)

See exactly how NIST AI 600-1 Generative AI Profile controls map to Philippines Cybercrime Prevention Act (RA 10175). Pre-computed mappings, identified gaps, and coverage analysis.

14
Controls Mapped
29
Gaps Found
23%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI 600-1 Generative AI Profile maps to Philippines Cybercrime Prevention Act (RA 10175) with 23% coverage across 10 directly mapped controls. Analysis of 43 NIST AI 600-1 Generative AI Profile controls identifies 33 compliance gaps — primarily concentrated in GAI Risk Categories.

Source: TheArtOfService Knowledge Graph | 43 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 14 of 14 mapped controls across 5 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(3 mappings)

AIRMF-GOV-01AI Risk Management Policies
RA10175-S3Definition of Terms
NIST-AI600-GOV-1Legal and Regulatory Compliance2 targets
CASL-ENF-02Compliance and Due Diligence
RIDTPPA-11Unauthorized Disclosure Penalty

Manage(4 mappings)

AIRMF-MAN-03AI Incident Response
UKTSA-ENF-05Security Breach Notification
NIST-AI600-MGT-3Third-Party Dependency Management
RA10175-S4a5Misuse of Devices
NIST-AI600-MGT-4Incident Response for GAI
UKTSA-ENF-05Security Breach Notification
NIST-AI600-MGT-5Decommissioning Procedures
ZMDPA-ENF-01Data Protection Commissioner Powers

Measure(3 mappings)

AIRMF-MEA-01AI Performance Metrics
RA10175-S3Definition of Terms
NIST-AI600-MEA-3Privacy Leak Assessment2 targets
CASL-ENF-02Compliance and Due Diligence
RIDTPPA-11Unauthorized Disclosure Penalty

Map(2 mappings)

NIST-AI600-MAP-1GAI Risk Identification2 targets
CASL-ENF-02Compliance and Due Diligence
RIDTPPA-11Unauthorized Disclosure Penalty

GAI Risk Categories(2 mappings)

NIST-AI600-RISK-03Data Privacy2 targets
CASL-ENF-02Compliance and Due Diligence
RIDTPPA-11Unauthorized Disclosure Penalty

Related Comparisons

Other NIST AI 600-1 Generative AI Profile comparisons

Other Philippines Cybercrime Prevention Act (RA 10175) comparisons

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What are the key differences between NIST AI 600-1 Generative AI Profile and Philippines Cybercrime Prevention Act (RA 10175)?

NIST AI 600-1 Generative AI Profile has 43 controls across its framework, while Philippines Cybercrime Prevention Act (RA 10175) covers 41 controls. Direct mapping analysis identifies 10 overlapping controls (23% coverage). The frameworks diverge most significantly in GAI Risk Categories, where 11 NIST AI 600-1 Generative AI Profile controls have no direct Philippines Cybercrime Prevention Act (RA 10175) equivalent.

How many controls map between NIST AI 600-1 Generative AI Profile and Philippines Cybercrime Prevention Act (RA 10175)?

Of 43 total NIST AI 600-1 Generative AI Profile controls, 10 map directly to Philippines Cybercrime Prevention Act (RA 10175) controls — representing 23% coverage. The remaining 33 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI 600-1 Generative AI Profile to Philippines Cybercrime Prevention Act (RA 10175)?

33 NIST AI 600-1 Generative AI Profile controls have no direct equivalent in Philippines Cybercrime Prevention Act (RA 10175). The highest concentration of gaps is in GAI Risk Categories with 11 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 AI 600-1 Generative AI Profile and Philippines Cybercrime Prevention Act (RA 10175)?

The domain with the highest gap count is GAI Risk Categories (11 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.