Malaysia AI & Data Compliance
Meet your obligations under Malaysia's amended PDPA 2024, BNM Risk Management in Technology policy, and national AI governance framework — with automated compliance built for Malaysian-regulated organisations.
Regulatory Landscape
Key Malaysia Regulations
PDPA 2010 (Amended 2024)
Personal Data Protection Act
Malaysia's primary data protection law, significantly strengthened by 2024 amendments introducing mandatory breach notification (72 hours), a Data Protection Officer requirement, and enhanced enforcement powers for the PDPC.
BNM RMiT
Bank Negara Malaysia — Risk Management in Technology
BNM's comprehensive technology risk management policy for financial institutions, covering AI model risk, algorithmic decision-making, cloud governance, and third-party technology risk — with specific AI governance expectations.
Malaysia AI Governance Framework
MDEC / NACSA AI Governance Framework
Malaysia's national AI governance framework establishing ethical AI principles, accountability structures, and sector-specific guidance for AI deployment across government and private sector organisations.
SC Digital Markets Guidance
Securities Commission — Digital Asset & AI Guidance
Securities Commission guidance on AI use in capital markets — covering algorithmic trading, robo-advisory, AI-driven investment decisions, and model risk management for licensed capital market intermediaries.
Compliance Obligations
What Organisations Must Do
How DotCoAi Helps
Built for Malaysia Compliance
PDPA 2024 Compliance Assessment
Gap analysis against the amended PDPA — DPO requirements, breach notification workflows, and data processing register aligned to PDPC expectations.
BNM RMiT AI Compliance
Comprehensive BNM RMiT compliance support — AI model risk framework, technology risk assessments, and examination-ready documentation for BNM-regulated institutions.
Breach Notification Automation
Automated incident detection and structured 72-hour breach notification workflows aligned to PDPC requirements under the amended PDPA.
AI Governance Framework
Malaysia-specific AI governance policies aligned to MDEC/NACSA framework — covering accountability, transparency, fairness, and human oversight.
Model Risk Management
End-to-end model risk management — validation, performance monitoring, bias testing, and audit-ready documentation for BNM and SC-regulated AI systems.
Regulatory Change Monitoring
Continuous monitoring of BNM, PDPC, SC, and NACSA regulatory developments — automated alerts and impact assessments as Malaysian AI regulation evolves.
Get Started
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All APAC Regulations
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