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Thales study highlights cloud security challenges in Singapore

Newsflash Asia

- July 4, 2025

Thales has unveiled its 2025 Cloud Security Study, conducted by S&P Global Market Intelligence 451 Research, highlighting significant challenges faced by organisations in Singapore and the Asia Pacific (APAC) region in securing cloud environments. The study reveals that nearly half of Singaporean respondents (49%) are prioritising AI security investments, indicating a shift in budget allocation due to the rapid adoption of AI technologies.

The report underscores that cloud security remains a top concern, with 60% of Singapore respondents ranking it among their top five security priorities. This mirrors the broader APAC trend, where 60% also consider cloud security a priority. However, the complexity of securing cloud environments is evident, as 69% of Singaporean respondents find cloud security more challenging than on-premises infrastructure, compared to 58% in APAC.

The study also highlights the growing use of Software as a Service (SaaS) applications, with Singaporean enterprises using an average of 77 applications, contributing to security tool sprawl. Despite the high percentage of sensitive data in the cloud, only 76% of Singaporean organisations have implemented multifactor authentication, leaving critical data exposed.

Daniel Toh, Chief Solutions Architect for Asia Pacific & Japan at Thales, stated, “The accelerating shift to cloud and AI is forcing enterprises to rethink how they manage risk at scale.” The study indicates that human error remains a significant vulnerability, with a rise in user credential attacks reported by 25% of Singapore respondents.

As organisations continue to expand their cloud usage, the need for robust security measures becomes increasingly critical. The findings suggest that whilst AI security is gaining importance, there is still a need for comprehensive strategies to address the evolving threat landscape in cloud environments.
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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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