AI Threats Escalate in 2025 Cloud Security Report
Gigamon, a leader in deep observability, has released its 2025 Hybrid Cloud Security Survey. The annual report revealed mounting pressure on hybrid cloud environments due to the growing influence of artificial intelligence (AI).
The third edition of the survey gathered responses from over 1,000 global Security and IT leaders. Findings showed a sharp rise in cyberthreats, with breach rates reaching 55 percent. This marks a 17 percent year-over-year increase. Gigamon reported that AI-generated attacks are a key driver behind this surge.
Security and IT teams are struggling to cope. According to the World Economic Forum, the global cost of cybercrime is now estimated at $3 trillion. The report revealed organizations face challenges like fragmented cloud systems, limited intelligence, and ineffective security tools.
Gigamon's study highlighted several critical trends: 46% of leaders ranked AI-generated threats as their top priority.
58% reported an increase in AI-powered ransomware, up from 41% in 2024.
47% said attacks on large language model (LLM) deployments are rising.
Additionally, 91 percent of leaders admitted to making trade-offs when securing their hybrid cloud infrastructure. The lack of clean, high-quality data and poor visibility into lateral network movement were key reasons.
Public cloud security is now under scrutiny. Gigamon revealed that 70 percent of leaders view it as the most risky environment. As a result, many organizations are reconsidering their strategies. Around 70 percent are thinking of moving data back to private clouds. Moreover, 54 percent are hesitant to use AI in public cloud setups due to concerns about intellectual property.
Visibility remains a key concern. The report found that 64 percent of organizations plan to prioritize real-time threat monitoring. However, 55 percent lack confidence in their current tools' ability to detect breaches.
Deep observability is gaining ground. Gigamon announced that 89 percent of respondents see it as vital for managing hybrid cloud security. Executive boards are also taking notice, with 83 percent now discussing deep observability as a strategic issue.
Mark Jow, EMEA technical evangelist at Gigamon, stated that deep observability helps eliminate visibility gaps and restore control. He explained that integrating network-derived telemetry with MELT data enhances situational awareness.
Freshfields CISO Mark Walmsley supported this view. He emphasized that visibility into AI systems and data flows is crucial. According to Walmsley, deep observability enables early threat detection and risk mitigation.
Gigamon concluded that deep observability is quickly becoming essential for securing AI deployments and protecting hybrid cloud environments.
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