Fortinet study: APAC firms struggle with AI cyber threats

A new study commissioned by Fortinet found that many organizations across Asia Pacific are struggling to manage growing cybersecurity complexity and AI-driven threats.

The study, conducted by Forrester Consulting, surveyed 585 cybersecurity decision-makers across the region in March 2026.

Results showed that 57 percent of organizations see AI-powered cyber threats as a major concern, while 54 percent pointed to fragmented security tools and rising alert volumes as key challenges. Half of respondents said too many alerts make it difficult to identify real threats, and 48 percent still depend on manual processes.

The report also found that cybersecurity maturity remains limited, with only 16 percent of organizations considered advanced in their security capabilities.

To address these issues, companies are increasingly shifting toward unified, platform-based security systems. While only 20 percent currently use a unified platform, that number is expected to grow to 59 percent within the next two years.

Organizations said the move is aimed at reducing tool sprawl, improving integration, and managing more complex hybrid environments. Many also expect platform consolidation to improve detection speed, incident response, and overall security operations efficiency.

At the same time, AI investment is rising sharply. Around 91 percent of organizations plan to increase AI budgets, with many expecting AI to improve threat detection, response speed, and operational efficiency.

However, the study warned that fragmented systems and limited automation are slowing AI adoption. It said integrated environments and unified data are necessary for AI to deliver meaningful security outcomes.

Amelia Lau said organizations in the region face “a dual challenge” of rapidly evolving AI threats and growing internal complexity.

Bambi Escalante said customers are struggling with fragmented tools, limited visibility, and increasing alert volumes, making threat detection and response more difficult.

Rashish Pandey added that AI can only be effective when supported by integrated systems and connected data across environments.

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