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Malaysian businesses adopt AI, lag in cybersecurity

Newsflash Asia

- November 27, 2025

Malaysian businesses are increasingly adopting artificial intelligence (AI) and data analytics, with 87% using data analytics tools and 85% having adopted AI. However, a mere 18% have fully integrated cybersecurity into their operational strategies, significantly below the survey average of 28%, as revealed by CPA Australia’s latest Business Technology Survey. This gap leaves many businesses vulnerable to digital threats.

The survey highlights that 17% of Malaysian businesses only react to cyber threats as they occur, and 19% are unaware or unsure of their employer’s cybersecurity management. Priya Terumalay, CPA Australia’s Regional Head for Southeast Asia, emphasised the need for businesses to embed robust cybersecurity processes into their core strategies to protect digital assets amidst the rise of AI-generated scams and phishing attacks.

Despite the strong uptake of AI tools, deep integration into business operations remains low at 11%, compared to the survey average of 16%. Most businesses use AI tools occasionally, relying on readily available options like ChatGPT and Microsoft Copilot. Those that have integrated AI report benefits such as increased productivity and improved accuracy in repetitive tasks.

Barriers to technology adoption include high implementation costs, limited technology literacy among senior management, and tech talent shortages. Priya noted that strengthening the technology capabilities of senior leadership is crucial for Malaysia to maintain its competitive edge in digital maturity.

The Malaysian government aims to position the country as an AI-driven economy, with the AI Technology Action Plan 2026–2030 set to be tabled in December. As AI continues to transform industries, businesses must balance technological advancements with human expertise to fully realise AI’s potential.

This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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