Build AI capabilities that satisfy BNM's regulatory expectations — practical for finance teams training designed for Malaysian financial institutions.
Malaysia's financial sector operates under one of ASEAN's most rigorous regulatory frameworks. BNM's Risk Management in Technology (RMiT) policy requires financial institutions to strengthen cybersecurity and cloud risk governance, while the Cyber Security Act 2024 mandates 6-hour incident notification for NCII entities including banks. The PDPA amendments impose RM1 million maximum fines and mandatory DPO appointments from June 2025. BNM's Financial Technology Regulatory Sandbox — with its new 'Green Lane' accelerated track — creates opportunities for AI innovation within a controlled environment. This programme is structured to qualify for HRD Corp SBL-Khas claims, with training costs covered directly from employer levy contributions — no upfront payment required.
LOCAL CONTEXT
Malaysia is rapidly positioning itself as a regional AI hub through the Malaysia Digital initiative. Strong government incentives, including HRDF and MDEC grants, combined with a growing pool of digital talent, create fertile ground for AI transformation across industries.
$2.1 billion AI market by 2030
growing
THE CHALLENGE
“Navigating Malaysia's Evolving AI Compliance Landscape”
“Training Investment Barriers Despite Available Funding”
“Competing for Scarce AI Talent”
Our team has trained executives at globally-recognized brands
OUTCOMES
FUNDING & SUBSIDIES
Up to RM1,000 per participant
Covers training costs for employees of registered employers (mandatory for 10+ staff). Direct provider payment — no upfront cost to employer.
Official SourceUp to MYR 5,000 per company
50% matching grant for digital service subscriptions adopted as part of this programme's implementation phase.
Official SourceVaries by partner institution
Part of RM1.5 billion public-private initiative supporting MSME business digitalisation through financial institutions and digital service providers.
Official SourceREGULATORY LANDSCAPE
The PDPA 2010 amendments (effective January–June 2025) are directly relevant: maximum fines increased to RM1 million, mandatory DPO appointments, 72-hour breach notification, expanded sensitive data definitions including biometrics, and new data portability rights. BNM's Risk Management in Technology (RMiT) policy imposes additional technology governance requirements on financial institutions, while the Financial Technology Regulatory Sandbox provides a controlled environment for AI innovation. The Cyber Security Act 2024 requires NCII entities to conduct annual cybersecurity risk assessments, biennial audits, and notify authorities of incidents within 6 hours of discovery. MOSTI's National Guidelines on AI Governance and Ethics (AIGE) outline seven core principles for responsible AI deployment, and the National AI Office (NAIO) is developing the AI Technology Action Plan 2026–2030 as a risk-based regulatory framework.
CHALLENGES IN MALAYSIA
With the PDPA amendments (fines up to RM1 million), Cyber Security Act 2024, and NAIO's forthcoming AI governance framework all taking effect within 18 months, Malaysian organisations need AI capabilities that are built compliance-first rather than retrofitted.
HRD Corp's SBL-Khas scheme covers training costs up to RM1,000 per participant via direct provider payment, and the SME Digitalisation Grant offers 50% matching up to MYR 5,000. Many Malaysian businesses miss these opportunities due to unfamiliarity with application processes.
With demand for AI professionals in Malaysia projected to reach 30,000 by 2030 against a current supply of only 3,000, building internal AI capability through training is more practical and cost-effective than relying on external hiring.
OUR PROCESS
We learn about your organization, current AI maturity, and specific objectives to customize the program.
We tailor content, examples, and exercises to your industry and use cases.
Interactive, hands-on sessions with real-world applications and immediate practice.
Post-program support, resources, and optional coaching to ensure lasting adoption.
IS THIS RIGHT FOR YOU?
Finance teams of 5+ handling complex reporting requirements
CFOs wanting to free analysts from manual work for strategic analysis
Organizations in regulated industries with heavy compliance burden
Companies with large datasets underutilized for financial insights
Small businesses with simple bookkeeping needs
Teams looking for accounting software recommendations (not AI training)
Organizations without structured financial data to work with
See yourself above? Let's talk about AI for Finance Teams in Malaysia.
Let's TalkCOMMON QUESTIONS
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WHY PERTAMA PARTNERS
Pertama's advisors understand the specific intersection of BNM's RMiT requirements, the Cyber Security Act 2024, and PDPA amendments that Malaysian financial institutions must navigate simultaneously. Most local training providers address these regulations in isolation; we train teams to build AI systems that satisfy all three frameworks from the start.
Training is delivered in English as the primary working language, with Bahasa Malaysia terminology integrated where relevant. Facilitators are comfortable with the code-switching between English, Bahasa Malaysia, and Mandarin that is common in Malaysian professional settings. All materials reference Malaysian regulations, funding mechanisms, and market examples. On-premise delivery is available for organisations with strict information security requirements. Programme structure is designed to meet HRD Corp's 'apply before training' process requirements, with adequate lead time built into scheduling.
Let's discuss how ai for finance teams can help your organization in Malaysia.
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