Kuala Lumpur:The Malaysian Anti-Corruption Commission (MACC) is set to enhance its efforts in identifying corruption risks by utilizing artificial intelligence (AI) and data analytics to analyze complaint information, transaction patterns, and suspicious activities.

According to BERNAMA News Agency, Tan Sri Mohamad Salim Fateh Din, chairman of the Anti-Corruption Advisory Board (LPPR), emphasized the need for MACC to expand its technology-driven approach in response to the increasingly complex and cross-border nature of corruption crimes. He highlighted the importance of modernizing investigative processes and employing data-driven analysis to strengthen MACC's capabilities in tackling these challenges.

The integration of AI technology is expected to boost MACC's prevention efforts and operational management, while also enhancing digital forensic capabilities for investigating corruption cases. Mohamad Salim suggested that collaboration between MACC and the Malaysian Communications and Multimedia Commission (MCMC) could further reinforce the technological infrastructure supporting MACC's data management and digital systems.

Security measures must be prioritized to protect sensitive information from unauthorized access, cyber threats, hacking, and data leaks. This entails incorporating cybersecurity controls, access controls, authentication mechanisms, data protection measures, audit trails, and monitoring methods into system development and integration.

Datuk Seri Abd Halim Aman, MACC chief commissioner, expressed the commission's commitment to adopting technology, enhancing expertise, and continuously improving its corruption detection, investigation, and prevention capabilities. He welcomed recommendations from the Special Committee on Corruption (JKMR), referred to as LPPR, aimed at strengthening MACC's capabilities and efficiency in addressing current corruption challenges.