Cross-Framework Mapping

Angola Personal Data Protection Law (Law No. 22/11)vs6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)

See exactly how Angola Personal Data Protection Law (Law No. 22/11) controls map to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673). Pre-computed mappings, identified gaps, and coverage analysis.

70
Controls Mapped
0
Gaps Found
45%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Angola Personal Data Protection Law (Law No. 22/11) maps to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) with 45% coverage across 14 directly mapped controls. Analysis of 31 Angola Personal Data Protection Law (Law No. 22/11) controls identifies 17 compliance gaps — primarily concentrated in Chapter I: General Provisions.

Source: TheArtOfService Knowledge Graph | 31 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 70 mapped controls across 5 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Chapter I: General Provisions(20 mappings)

AL-DPA-1Article 1 — Object of the Law6 targets
Art. 2Consent Definition
Art. 4Participating Institutions
Art. 4Participating Institutions
Art. 8Data Categories
FATF-TR-IMP-03VASP AML/CFT
Part 1, Sec. 4Application and Scope
AL-DPA-3Article 3 — Definitions6 targets
Art. 2Consent Definition
Art. 4Participating Institutions
Art. 4Participating Institutions
Art. 8Data Categories
FATF-TR-IMP-03VASP AML/CFT
Part 1, Sec. 4Application and Scope
BA-DPA-2Article 2 — Definitions8 targets
Art. 12Data Ownership
Art. 2Consent Definition
Art. 4Participating Institutions
Art. 4Participating Institutions
Art. 8Data Categories
FATF-TR-IMP-03VASP AML/CFT
JOR-1Scope and Definitions (Article 1–2)
PBD-IMP-01GDPR Article 25

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Related Comparisons

Other Angola Personal Data Protection Law (Law No. 22/11) comparisons

Other 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) comparisons

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What are the key differences between Angola Personal Data Protection Law (Law No. 22/11) and 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

Angola Personal Data Protection Law (Law No. 22/11) has 31 controls across its framework, while 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) covers 41 controls. Direct mapping analysis identifies 14 overlapping controls (45% coverage). The frameworks diverge most significantly in Chapter I: General Provisions, where 6 Angola Personal Data Protection Law (Law No. 22/11) controls have no direct 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) equivalent.

How many controls map between Angola Personal Data Protection Law (Law No. 22/11) and 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

Of 31 total Angola Personal Data Protection Law (Law No. 22/11) controls, 14 map directly to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) controls — representing 45% coverage. The remaining 17 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Angola Personal Data Protection Law (Law No. 22/11) to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

17 Angola Personal Data Protection Law (Law No. 22/11) controls have no direct equivalent in 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673). The highest concentration of gaps is in Chapter I: General Provisions 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 Angola Personal Data Protection Law (Law No. 22/11) and 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

The domain with the highest gap count is Chapter I: General Provisions (6 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

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