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Fighting scammers with AI and data: How Budget 2027 is sharpening Malaysia’s cybercrime defences

KUALA LUMPUR, Nov 9 — A message arrives offering an investment opportunity that sounds too good to miss.The recipi...

Fighting scammers with AI and data: How Budget 2027 is sharpening Malaysia’s cybercrime defences

Malaysia's Budget 2027 has unveiled three initiatives to bolster the country's cybercrime defenses against online scams and threats. The first initiative is an AI-powered application developed by the National Scam Response Centre (NSRC). This tool will enable users to verify suspicious phone numbers, bank accounts, and links before engaging in transactions. The application aims to empower Malaysians with the ability to identify potential scams and reduce the risk of financial losses due to digital fraud.

The second initiative focuses on fortifying the police's capacity to detect and combat child exploitation crimes. The Police Department's D11 division will introduce enhanced analytics capabilities to the Malaysia Internet Crime Against Children system. This upgrade strives to strengthen law enforcement's ability to identify perpetrators and uncover networks involved in child sexual exploitation.

Lastly, the third initiative involves an expanded internet safety campaign targeted at schools. The Malaysian Communications and Multimedia Commission (MCMC) will intensify the Safe Internet Campaign across all educational institutions. The campaign's primary focus is on raising awareness of online risks among students, particularly cyberbullying and child exploitation. By imparting knowledge on safe internet practices, the campaign seeks to cultivate a culture of responsible digital behavior among children.

These three initiatives collectively address various facets of online safety. By combining public-facing scam checks, enhanced investigative capabilities, and educational outreach, the government aims to fortify Malaysia's defenses against digital crimes.

Written by urgent.news from Malay Mail's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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