The Malaysian agency uses AI and data analysis to identify anomalies and suspicious financial flows, focusing initially on public procurement and state funds.
The Malaysian Anti-Corruption Commission (MACC) generalizes the use of artificial intelligence, data analysis and digital tools in its investigations, said its Chief Commissioner, Datuk Seri Abd Halim Aman. These systems are used to identify anomalies, track the flow of money and identify links between individuals or entities, by processing large volumes of information much faster than conventional methods. They extended intelligence-based investigative techniques introduced in 2025 by his predecessor, Tan Sri Azam Baki.
Government procurement and revenue as a priority
In 2026, the Agency focused its efforts on public procurement, law enforcement, public funds and special allocations, as well as government revenues. Between January and the end of August, she received 5,239 reports, opened 842 investigation files and made 803 arrests. From January to the end of July, 55.3 million ringgits were recovered through confiscations, transactional fines, settlements and seizures.
The scheme is based on the Data Sharing Act 2025, which came into force on 28 April 2025, and the MyGDX interministerial exchange platform. Malaysia's rules on AI in the public sector classify police and judicial practices as high-risk applications. On the training side, thirteen officers attended an advanced five-day AI program in July 2026.
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