NAIC Insurance Data Security Model Law (MDL-668)vsVermont Artificial Intelligence and Consumer Data Act (AICDA)
See exactly how NAIC Insurance Data Security Model Law (MDL-668) controls map to Vermont Artificial Intelligence and Consumer Data Act (AICDA). Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
NAIC Insurance Data Security Model Law (MDL-668) maps to Vermont Artificial Intelligence and Consumer Data Act (AICDA) with 38% coverage across 3 directly mapped controls. Analysis of 8 NAIC Insurance Data Security Model Law (MDL-668) controls identifies 5 compliance gaps — primarily concentrated in Cross-State Compliance.
Source: TheArtOfService Knowledge Graph | 8 controls analysed | 718 frameworks | 332K+ cross-framework mappings
Control Mappings
Showing 4 of 4 mapped controls across 3 domains. Sign up to explore all 332K+ mappings across 718 frameworks.
Governance and Scope(2 mappings)
Information Security Program(1 mappings)
Incident Response(1 mappings)
Related Comparisons
Other NAIC Insurance Data Security Model Law (MDL-668) comparisons
Other Vermont Artificial Intelligence and Consumer Data Act (AICDA) comparisons
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What are the key differences between NAIC Insurance Data Security Model Law (MDL-668) and Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
NAIC Insurance Data Security Model Law (MDL-668) has 8 controls across its framework, while Vermont Artificial Intelligence and Consumer Data Act (AICDA) covers 4 controls. Direct mapping analysis identifies 3 overlapping controls (38% coverage). The frameworks diverge most significantly in Cross-State Compliance, where 1 NAIC Insurance Data Security Model Law (MDL-668) controls have no direct Vermont Artificial Intelligence and Consumer Data Act (AICDA) equivalent.
How many controls map between NAIC Insurance Data Security Model Law (MDL-668) and Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
Of 8 total NAIC Insurance Data Security Model Law (MDL-668) controls, 3 map directly to Vermont Artificial Intelligence and Consumer Data Act (AICDA) controls — representing 38% coverage. The remaining 5 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping NAIC Insurance Data Security Model Law (MDL-668) to Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
5 NAIC Insurance Data Security Model Law (MDL-668) controls have no direct equivalent in Vermont Artificial Intelligence and Consumer Data Act (AICDA). The highest concentration of gaps is in Cross-State Compliance with 1 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 NAIC Insurance Data Security Model Law (MDL-668) and Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
The domain with the highest gap count is Cross-State Compliance (1 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
Related Resources
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