AI Reshaping Hybrid Cloud Security Risks as Threats Surge

Thailand AI PR News: AI transforms the cybersecurity battleground

Artificial intelligence is driving a new wave of disruption across hybrid cloud security. Gigamon’s 2025 Hybrid Cloud Security Survey, covering more than 1,000 IT security leaders from six major global markets, shows that AI-powered cyber threats are evolving faster than organizations can respond. Cybercrime has escalated sharply, with data breach rates rising by 55% over the past year alone.

Christi Thiele, Vice President of Global Solution Engineering at Gigamon, said security teams are being overwhelmed by rapid AI adoption and escalating cloud risks
Image Credit: Gigamon

According to this Thailand AI PR News report, the World Economic Forum now estimates that cybercrime is costing the global economy as much as $3 trillion, underscoring the immense pressure placed on IT teams. Criminals are weaponizing AI to launch highly adaptive attacks, while enterprises are struggling with inefficient security tools, fragmented environments and limited intelligence.

AI-driven threats and rising vulnerabilities

The report shows that 46% of IT and compliance leaders now see AI-driven threats as a top priority. Large Language Models (LLMs) have become a prime target, with 47% of organizations reporting increased attacks on their deployments. At the same time, ransomware threats driven by AI jumped from 41% in 2024 to 58% this year. Security leaders acknowledge that criminals are moving faster than current defenses, and complexity created by AI workloads is only adding to the challenge. In Singapore alone, 96% of respondents admitted hesitancy about securing hybrid cloud systems, citing poor data quality, lack of insights and limited visibility into lateral or East-West traffic inside networks.

Public cloud risks fueling migration strategies

Another striking revelation is the shifting view of public cloud platforms. While once considered an acceptable risk during the post-pandemic digital rush, 71% of IT leaders in Singapore now believe public cloud services present greater risks than other models. As a result, 76% are evaluating migration toward private cloud, and more than half are unwilling to deploy AI workloads in the public cloud because of intellectual property protection concerns. This change signals a wider industry movement toward rethinking cloud strategies in the face of escalating AI-driven attacks.

The urgent need for deep observability

Visibility has emerged as the number one priority for security leaders. More than half (55%) of respondents say they lack confidence in their tools’ ability to detect breaches, pointing to insufficient visibility as the core issue. In response, 64% have set real-time monitoring and visibility into all data in motion as their main target for the next 12 months. Gigamon highlights that “Deep Observability”—the fusion of metrics, events, logs and traces with network intelligence—can provide security teams with the clarity they need. Executives and even boards of directors are now pushing for this, with 88% of Singaporean leaders confirming that visibility at the boardroom level is a growing priority.

The global shift toward visibility and control

The findings make it clear that AI is not just creating new risks but fundamentally reshaping how organizations must think about cloud security. With nearly nine in ten leaders calling deep visibility essential for managing hybrid infrastructures, the industry is entering a new era where advanced observability is not optional but mandatory. As AI adoption accelerates, only organizations that prioritize real-time visibility, proactive defense strategies and the safe deployment of AI across hybrid systems will be able to stay ahead of criminals. The message is direct: adapt quickly, or risk being overwhelmed in a security landscape where AI is rewriting the rules.

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