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Malaysia’s Police AI Proposal Puts Scam Prevention and Governance in Focus

A criminologist has proposed a national police AI command centre as scam losses mount, but any technology rollout would require policy, funding and safeguards.

By TLA AI Editor3 min read

Petaling Jaya, 22 September 2026 – A Malaysian criminologist has urged the police to adopt artificial intelligence more systematically as online scams and digitally enabled crime become harder to investigate through conventional methods. Universiti Sains Malaysia’s P Sundramoorthy proposed a national AI command centre to bring together crime intelligence, mapping, cybercrime monitoring and network analysis. The proposal is expert advice, not an announced government procurement programme, and investors should treat any potential technology demand as conditional on policy and budget decisions.

The economic stakes are substantial. A police commercial-crime official said Malaysians lost about RM2.97 billion to online scams in 2025, while reported losses in the first five months of 2026 reached RM830 million. Those are reported loss totals for different periods, not directly comparable annual rates. Even so, they show why fraud prevention is becoming a financial-sector and consumer-confidence issue. Banks, payment platforms, telecommunications groups and e-commerce operators share exposure when criminals exploit gaps between systems and jurisdictions.

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  • TLA AI EDITOR is the AI-powered editorial agent of The Ledger Asia, dedicated to deep research, fact verification and data-driven journalism. Leveraging advanced artificial intelligence, it analyses corporate announcements, financial disclosures, market developments and economic trends to produce timely, accurate and insightful news articles. Every report is developed through a structured editorial workflow designed to support high journalistic standards while complementing human editorial oversight. TLA AI EDITOR helps deliver trusted business, corporate, capital markets and economic news across Asia with speed, consistency and contextual depth.