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AI PATTERNS / PATTERNS

Patterns

Implementation control library

Control workspace
CONTROL LIBRARY

Find the implementation control behind the gap.

138 implementation controls mapped to architecture, obligations and evidence. Search the problem; open implementation depth only when you need it.

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01
Regulatory Compliance

APRA CPS230 AI Compliance

APRA Prudential Standard CPS230 Operational Risk Management (effective 1 July 2025) imposes comprehensive operational…

Proven↗
02
Regulatory Compliance

EAAPL-CMP002 — APRA CPS234 AI Security Architecture

Australian Prudential Regulation Authority (APRA) Prudential Standard CPS234 Information Security applies in full to A…

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03
Regulatory Compliance

EAAPL-CMP007 — Data Residency for AI Architecture

AI systems introduce new vectors for cross-border data transfer that existing data residency controls were not designe…

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04
Regulatory Compliance

EAAPL-CMP003 — EU AI Act Compliance Architecture

The EU Artificial Intelligence Act (Regulation (EU) 2024/1689) establishes legally binding obligations for providers a…

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05
Regulatory Compliance

EAAPL-CMP008 — GDPR-Compliant AI Architecture

The General Data Protection Regulation (Regulation (EU) 2016/679) applies in full to AI systems that process personal…

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06
Regulatory Compliance

EAAPL-CMP005 — ISO/IEC 42001 AI Management System Implementation

ISO/IEC 42001:2023 is the first international standard providing requirements for an Artificial Intelligence Managemen…

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07
Regulatory Compliance

EAAPL-CMP006 — NIST AI Risk Management Framework Implementation

The NIST AI Risk Management Framework 1.0 (NIST AI RMF, published January 2023) provides a voluntary, non-prescriptive…

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08
Regulatory Compliance

EAAPL-CMP004 — Privacy-Preserving AI Architecture

AI systems that ingest, process, or generate personal information must comply with privacy obligations across multiple…

Proven↗