Asia-Pacific is not a single regulatory market. India, Japan, and South Korea — three of the region's largest digital economies — are converging on AI accountability through different instruments: privacy law, soft-law guidelines, and dedicated AI legislation. Enterprises need a regional program that absorbs local variation without fragmenting engineering workflow.

India: DPDP Act and emerging AI policy

The Digital Personal Data Protection Act establishes consent, purpose limitation, and data fiduciary duties. Automated decision-making that affects individuals triggers transparency and grievance redress expectations. India's government has circulated AI advisory guidance requiring explicit permission for under-tested models on Indian users and emphasizing labeling of synthetic content. Governance intake should capture consent flows, data localization choices, and human oversight for consequential decisions affecting Indian data principals.

Japan: AI Guidelines for Business

Japan's METI and MIC AI Guidelines emphasize human-centric, trustworthy AI across the lifecycle — design, deployment, operation, and retirement. The approach is principle-based rather than penalty-first, but financial and critical-infrastructure sectors face supervisory expectations from FSA and sector agencies. Japanese enterprises often document AI principles, risk analysis, and monitoring plans — artifacts that map to Regal AI assessment output and compliance evidence stores.

South Korea: AI Basic Act

Korea's AI Basic Act establishes foundational duties for high-impact and generative AI, risk classification, transparency, and safety measures for foundation-model providers and deployers. The Act moves Korea toward EU-style risk thinking while preserving Korea-specific sector enforcement. Multinationals operating Korean-language customer agents need Korean impact documentation and safety testing in the Prove stage.

Building one APAC program

  • Unified intake — one form; jurisdiction multi-select drives control packs
  • Regional risk overlays — India privacy, Japan lifecycle docs, Korea high-impact duties
  • Shared evidence model — tests reusable where standards overlap (allowlists, injection, logging)
  • Local runtime policy — data residency and tool restrictions per country

openRegal helps APAC regional leads govern at scale: engineering ships fast inside deploy gates; GRC sees Regal AI assessments tuned to each market; runtime enforcement proves policy held in production — the evidence chain regulators across India, Japan, and Korea increasingly expect.