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AI Regulatory Compliance Framework

15 min read
AI documentation guide

Overview​

As of 2026, global enterprises face a complex environment requiring simultaneous compliance with AI regulations across multiple jurisdictions:

  • EU: AI Act (adopted 2024, phased application 2025-2027: prohibitions Feb 2025, GPAI obligations Aug 2025, general application and Annex III high-risk Aug 2026, Annex I high-risk Aug 2027)
  • United States: NIST AI RMF 1.0 (voluntary framework), applicable federal and agency procurement policies, state-level regulations
  • Korea: AI Framework Act (AI 기본법, in force since 22 January 2026)
  • International Standard: ISO/IEC 42001:2023 (AI Management System certification)

Why AIDLC Integration is Essential​

Direct mapping of regulatory requirements to AIDLC process stages enables:

  1. Traceable Control Coverage: Traceable mapping of required controls to each stage (mapping aids compliance but does not guarantee it automatically)
  2. Unified Audit Trail: Single audit tracking system for all regulations
  3. Efficient Updates: Only modify AIDLC stage definitions when regulations change
  4. Evidence Collection Support: Supports generation of compliance reports
Expand the diagram to read labels and follow connections.
Diagram

Four Framework Summary​

EU AI Act (2024-2027)​

Key Features:

  • World's first comprehensive AI regulation (legally binding)
  • 4-tier risk classification (Prohibited/High-risk/Limited/Minimal)
  • Strict obligations for High-risk AI systems (risk management, data governance, technical documentation, automated logging, transparency, human oversight, robustness)
  • Penalties: Up to 35M€ or 7% of global annual turnover

AIDLC Application:

  • Inception: Risk Tier classification, risk management plan
  • Construction: Auto-generation of technical documentation, audit logs, robustness testing
  • Operations: Post-market monitoring, incident reporting (Art. 73; 15 days generally / 2 days severe / 10 days where a death is involved)

Detailed Guide →

NIST AI RMF 1.0​

Key Features:

  • Published by U.S. NIST; voluntary adoption is distinct from obligations in laws, agency policies, and contracts
  • 4 Functions: GOVERN, MAP, MEASURE, MANAGE
  • The Generative AI Profile (NIST AI 600-1, July 2024) is a companion to AI RMF 1.0
  • International compatibility (interoperable with ISO/IEC 42001)

AIDLC Application:

The four Functions are iterative rather than one-time sequential stages, and GOVERN and MANAGE in particular run continuously across all stages. The mapping below shows where each Function is especially concentrated.

  • Inception: GOVERN + MAP (governance & risk identification)
  • Construction: MEASURE (performance, bias, robustness evaluation)
  • Operations: MANAGE (risk response & continuous monitoring)

Detailed Guide →

ISO/IEC 42001:2023​

Key Features:

  • International AI Management System standard (certifiable)
  • PDCA-based (Plan-Do-Check-Act cycle)
  • 38 controls under nine control objectives, A.2 to A.10 (Annex A; checked against published secondary sources as of 2026-10-29, not the paid normative text)
  • Integrable with ISMS (ISO 27001), QMS (ISO 9001)

AIDLC Application:

  • Inception: Plan (risk assessment & policy establishment)
  • Construction: Do + Check (implementation, validation, monitoring)
  • Operations: Act (improvement & corrective actions)

Detailed Guide →

Korea AI Framework Act (AI 기본법, 2026)​

Key Features:

  • In force since 22 January 2026
  • Advance user notification required when using high-impact or generative AI (high-impact AI also requires safety measures including an impact assessment; detailed criteria set in the enforcement decree)
  • Labeling obligation for generative AI (watermark/metadata recommended)
  • Cross-compliance with PIPA/ISMS-P

AIDLC Application:

  • Inception: Impact assessment (high-impact AI determination — by statutory domain)
  • Construction: Transparency labeling for AI-generated code
  • Operations: Post-deployment management (malfunction correction, major incident reporting)

Detailed Guide →

Comparative Matrix​

Control-Level Regulatory Mapping​

Control ElementEU AI ActNIST AI RMFISO/IEC 42001Korea AI Basic Act
Risk AssessmentArt. 6, 9 (risk mgmt)MAP 5.1A.5.1 (policy), A.10.2 (risk mgmt)Impact assessment (high-impact AI)
Data GovernanceArt. 10 (data quality)MAP 2.3A.7.* (12 data controls)PIPA compliance
Transparency & ExplainabilityArt. 13 (transparency)MEASURE 2.8 / 2.9A.8.2 (transparency), A.8.3 (explanation)Generative AI labeling obligation
Human Oversight (HITL)Art. 14 (human oversight)MAP 3.5A.10.5 (human intervention)Art. 34(1)(4) (human management and supervision of high-impact AI)
Technical DocumentationArt. 11 (documentation)GOVERN 1.4A.8.1 (docs), A.10.6 (records)Art. 34(1)(5) (preparing and storing documents on safety and reliability measures, high-impact AI)
Performance MonitoringArt. 15 (accuracy)MEASURE 2.3 / 2.4A.11.1 (performance metrics)-
Post-Market MonitoringArt. 72 (post-market)MANAGE 4.1A.10.10 (continuous monitoring)Post-deployment mgmt obligation
Incident ReportingArt. 73 (without undue delay; generally 15 days / 2 days widespread or severe / 10 days where a death is involved; high-risk providers)MANAGE 4.3A.10.11 (incident response)Major incident reporting
SecurityArt. 15 (cybersecurity)MEASURE 2.7A.12.* (10 security controls)ISMS-P integration
Supply Chain Management-GOVERN 6.1 / MANAGE 3.1A.13.* (6 third-party controls)-

The control identifiers in the ISO/IEC 42001 column have not been checked against the (paid) normative text (as of 2026-10-29). Public secondary guides describe Annex A as 38 controls under nine control objectives A.2-A.10, so confirm the identifiers in this column (including A.11-A.13) against the standard before using them as certification or audit evidence. A - in the Korea AI Basic Act column means no article in the Act's text directly sets that control; the enforcement decree and notices were not checked.

Regulatory Requirements by AIDLC Stage​

Expand the diagram to read labels and follow connections.
Diagram

Next Steps​

References​

Official Documents​

EU AI Act:

NIST AI RMF:

ISO/IEC 42001:

Korea AI Basic Act:

AWS Resources​