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Cross-Framework Mapping

Vermont Artificial Intelligence and Consumer Data Act (AICDA)vsFTC GLBA Safeguards Rule (16 CFR Part 314)

See exactly how Vermont Artificial Intelligence and Consumer Data Act (AICDA) controls map to FTC GLBA Safeguards Rule (16 CFR Part 314). Pre-computed mappings, identified gaps, and coverage analysis.

12
Controls Mapped
36
Gaps Found
15%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Vermont Artificial Intelligence and Consumer Data Act (AICDA) maps to FTC GLBA Safeguards Rule (16 CFR Part 314) with 15% coverage across 7 directly mapped controls. Analysis of 48 Vermont Artificial Intelligence and Consumer Data Act (AICDA) controls identifies 41 compliance gaps — primarily concentrated in AI Governance.

Source: TheArtOfService Knowledge Graph | 48 controls analysed | 715 frameworks | 418K+ cross-framework mappings

Control Mappings

Showing 12 of 12 mapped controls across 3 domains. Sign up to explore all 418K+ mappings across 715 frameworks.

Sensitive Data and Consent(7 mappings)

AICDA-3.1Consent for Sensitive Data2 targets
→FTC-Safeguards-9-Elements9 Safeguard Elements - Access, Inventory, Encryption, Secure-Dev, MFA, Disposal, Change-Mgmt, Monitoring, Pen-Test (16 CFR 314.4(c))
→FTC-Safeguards-Scope-DefsScope, Definitions and Financial Institution Applicability (16 CFR 314.1, 314.2)
AICDA-3.2Children's Data Protections
→FTC-Safeguards-9-Elements9 Safeguard Elements - Access, Inventory, Encryption, Secure-Dev, MFA, Disposal, Change-Mgmt, Monitoring, Pen-Test (16 CFR 314.4(c))
CPA-SD-1Sensitive Data Consent
→FTC-Safeguards-9-Elements9 Safeguard Elements - Access, Inventory, Encryption, Secure-Dev, MFA, Disposal, Change-Mgmt, Monitoring, Pen-Test (16 CFR 314.4(c))
CPA-SD-2Children's Data Protection2 targets
→FTC-Safeguards-9-Elements9 Safeguard Elements - Access, Inventory, Encryption, Secure-Dev, MFA, Disposal, Change-Mgmt, Monitoring, Pen-Test (16 CFR 314.4(c))
→FTC-Safeguards-Scope-DefsScope, Definitions and Financial Institution Applicability (16 CFR 314.1, 314.2)
CPA-SD-3Secondary Use Consent
→FTC-Safeguards-Scope-DefsScope, Definitions and Financial Institution Applicability (16 CFR 314.1, 314.2)

AI Governance and Automated Decisions(4 mappings)

AICDA-4.1AI Impact Assessment4 targets
→FTC-Safeguards-EffectiveDate-Small-InstitutionEffective Date, Small Institution Exemption and Sectoral Coordination (16 CFR 314.5, 314.6)
→FTC-Safeguards-IR-Plan-BoardReporting-FTC-NotificationWritten Incident Response Plan + Board Reporting + FTC Breach Notification (16 CFR 314.4(h), (i), (j))
→FTC-Safeguards-Risk-AssessmentWritten Risk Assessment (16 CFR 314.4(b))
→FTC-Safeguards-ServiceProvider-EvaluationService Provider Oversight + Program Evaluation + Personnel Training (16 CFR 314.4(d-g))

Enforcement and Data Broker Requirements(1 mappings)

AICDA-5.4Data Protection Assessments
→FTC-Safeguards-9-Elements9 Safeguard Elements - Access, Inventory, Encryption, Secure-Dev, MFA, Disposal, Change-Mgmt, Monitoring, Pen-Test (16 CFR 314.4(c))

Related Comparisons

Other Vermont Artificial Intelligence and Consumer Data Act (AICDA) comparisons

Vermont Artificial Intelligence and Consumer Data Act (AICDA) vs NIST Privacy Framework 1.09 mappingsVermont Artificial Intelligence and Consumer Data Act (AICDA) vs TISAX - Trusted Information Security Assessment Exchange8 mappingsVermont Artificial Intelligence and Consumer Data Act (AICDA) vs UK Age Appropriate Design Code (Children's Code)8 mappingsVermont Artificial Intelligence and Consumer Data Act (AICDA) vs South Korea Personal Information Protection Act (PIPA)8 mappingsVermont Artificial Intelligence and Consumer Data Act (AICDA) vs Azure Security Benchmark8 mappingsVermont Artificial Intelligence and Consumer Data Act (AICDA) vs Florida Digital Bill of Rights (FDBR)7 mappingsVermont Artificial Intelligence and Consumer Data Act (AICDA) vs Family Educational Rights and Privacy Act (FERPA)7 mappingsVermont Artificial Intelligence and Consumer Data Act (AICDA) vs Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL)7 mappings

Other FTC GLBA Safeguards Rule (16 CFR Part 314) comparisons

HKMA Cyber Resilience Assessment Framework (C-RAF) vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappingsNIST AI 600-1: Generative AI Profile vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappingsSwitzerland FADP vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappingsBarbados Data Protection Act 2019 vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappingsISO/IEC 27557:2022 - Organisational Privacy Risk Management vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappingsBahrain PDPL vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappingsLaos Law on Prevention and Combating Cybercrime (2015) vs FTC GLBA Safeguards Rule (16 CFR Part 314)6 mappings

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What are the key differences between Vermont Artificial Intelligence and Consumer Data Act (AICDA) and FTC GLBA Safeguards Rule (16 CFR Part 314)?

Vermont Artificial Intelligence and Consumer Data Act (AICDA) has 48 controls across its framework, while FTC GLBA Safeguards Rule (16 CFR Part 314) covers 11 controls. Direct mapping analysis identifies 7 overlapping controls (15% coverage). The frameworks diverge most significantly in AI Governance, where 6 Vermont Artificial Intelligence and Consumer Data Act (AICDA) controls have no direct FTC GLBA Safeguards Rule (16 CFR Part 314) equivalent.

How many controls map between Vermont Artificial Intelligence and Consumer Data Act (AICDA) and FTC GLBA Safeguards Rule (16 CFR Part 314)?

Of 48 total Vermont Artificial Intelligence and Consumer Data Act (AICDA) controls, 7 map directly to FTC GLBA Safeguards Rule (16 CFR Part 314) controls — representing 15% coverage. The remaining 41 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Vermont Artificial Intelligence and Consumer Data Act (AICDA) to FTC GLBA Safeguards Rule (16 CFR Part 314)?

41 Vermont Artificial Intelligence and Consumer Data Act (AICDA) controls have no direct equivalent in FTC GLBA Safeguards Rule (16 CFR Part 314). The highest concentration of gaps is in AI Governance 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 Vermont Artificial Intelligence and Consumer Data Act (AICDA) and FTC GLBA Safeguards Rule (16 CFR Part 314)?

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

Related Resources

How to Map Controls Across Frameworks|Multi-Framework Compliance Guide|Compliance Glossary

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