Gigamon 2025 Report: Hybrid Cloud Security Recalibrated in the AI Era

Brickinfo News Agency – A new survey from Gigamon reveals that hybrid cloud security is under increasing pressure from the widespread adoption of artificial intelligence. The “2025 Hybrid Cloud Security Survey,” which polled over 1,000 global IT and security leaders, found a significant rise in cybersecurity compromises, with breach rates climbing to 55 percent in the past year—a 17 percent year-on-year increase. The study attributes this growth to a surge in AI-generated attacks, which are pushing security teams to re-evaluate their defenses.

The report highlights that AI is not only a tool for defenders but is also being used by adversaries to create more sophisticated and scalable attacks. A significant 46 percent of security leaders now cite managing AI-generated threats as their top security priority. This concern is validated by a number of findings, including the fact that nearly half of all respondents (47 percent) are seeing an increase in attacks specifically targeting their organization’s large language model (LLM) deployments. Additionally, the survey shows a sharp increase in AI-powered ransomware, with 58 percent of respondents reporting a surge, up from 41 percent in 2024. These statistics underscore how cybercriminals are leveraging AI to outpace and circumvent existing security measures.

The study also found that most organizations are forced to compromise on their hybrid cloud security. In Singapore, for instance, 96 percent of respondents admitted to making security compromises. Key challenges cited include a lack of clean, high-quality data to properly secure AI workloads and a lack of comprehensive visibility across their environments, particularly into lateral movement within East-West traffic.

This mounting risk is causing a widespread re-evaluation of public cloud strategies. While once considered a necessary risk for scaling operations, the public cloud is now viewed with increased scrutiny. The survey found that 71 percent of security leaders in Singapore see the public cloud as a greater risk than any other environment. As a result, 76 percent of Singaporean organizations are considering repatriating data from the public to a private cloud, and more than half (54 percent) are hesitant to use AI in public cloud environments due to intellectual property concerns.

In light of these challenges, security leaders are focusing on improving visibility. The survey shows that 55 percent of respondents lack confidence in their current tools’ ability to detect breaches, citing limited visibility as the core issue. This is leading to a strategic shift, with 64 percent of leaders prioritizing real-time threat monitoring in the next 12 months. This is where “deep observability” comes in. The survey indicates that 89 percent of security and IT leaders consider it fundamental to securing hybrid cloud infrastructure.

According to David Land, vice president, APAC at Gigamon, “Security teams are struggling to keep pace with the speed of AI adoption and the growing complexity of and vulnerability of public cloud environments.” He emphasized that deep observability provides a solution by combining existing data with network-derived telemetry, such as packets, flows, and metadata, to deliver increased visibility and a more informed view of risk. “With 93 percent of Security and IT leaders in Singapore agreeing it is critical to securing AI deployments, deep observability is fast becoming a strategic imperative,” Land added. The importance of deep observability is now a topic of discussion at the executive level, with 88 percent of Singaporean respondents confirming that it is being reviewed at the board level to better protect hybrid cloud environments.