#AI--Gigamon, a leader in deep observability, today released its 2025 Hybrid Cloud Security Survey, revealing that hybrid cloud infrastructure is under mounting strain from the growing influence of ar...
New research shows AI is driving cybersecurity compromises amid rising data volumes, LLM threats, and growing public cloud concerns
SANTA CLARA, Calif.: #AI--Gigamon, a leader in deep observability, today released its 2025 Hybrid Cloud Security Survey, revealing that hybrid cloud infrastructure is under mounting strain from the growing influence of artificial intelligence (AI). The annual study, now in its third year, surveyed over 1,000 global Security and IT leaders across Australia, France, Germany, Singapore, the U.K., and the United States. As cyberthreats increase in both scale and sophistication, breach rates have surged to 55 percent during the past year, representing a 17 percent year-on-year (YoY) rise, with AI-generated attacks emerging as a key driver of this growth.
Security and IT teams are being pushed to a breaking point, with the economic cost of cybercrime now estimated at $3 trillion worldwide according to the World Economic Forum. As AI-enabled adversaries grow more agile, organizations are challenged with ineffective and inefficient tools, fragmented cloud environments, and limited intelligence.
Key Findings Highlight How AI Is Reshaping Hybrid Cloud Security Priorities
Deep Observability Becomes the New Standard
With AI driving unprecedented traffic volumes, risk, and complexity, nearly nine in 10 (89 percent) Security and IT leaders cite deep observability as fundamental to securing and managing hybrid cloud infrastructure. Executive leadership is taking notice, as boards increasingly prioritize complete visibility into all data in motion, with 83 percent confirming that deep observability is now being discussed at the board level to better protect hybrid cloud environments.
"This year’s survey signals a profound shift in risk management priorities, and the time has come to recalibrate how hybrid cloud infrastructure is secured and managed in the AI era,” said Chaim Mazal, chief security officer at Gigamon. “Deep observability provides that recalibration by combining traditional log data with network-derived telemetry, giving security teams the clarity to see through encrypted traffic, detect AI-powered threats, and strengthen defenses before the blast radius expands. With 88 percent of Security and IT leaders recognizing its importance for securing AI deployments, this approach has become foundational to modern cybersecurity."
“With nearly half of organizations saying attackers are already targeting their large language models, AI security can’t be an afterthought, it needs to be a top priority,” said Mark Walmsley, CISO at Freshfields. “The key to staying ahead? Visibility. When we can clearly see what’s happening across AI systems and data flows, we can cut through the noise and manage risk more effectively. Deep observability helps us spot vulnerabilities early and put the right protections in place before issues arise.”
About the survey
The 2025 Hybrid Cloud Security Survey was commissioned by Gigamon and fielded in collaboration with Vitreous World. The data is based on findings of an online survey of 1,021 global respondents Feb. 21- Mar. 7, 2025.
For more information
About Gigamon
Gigamon® offers a deep observability pipeline that efficiently delivers network-derived telemetry to cloud, security, and observability tools. This helps eliminate security blind spots and reduce tool costs, enabling you to better secure and manage your hybrid cloud infrastructure. Gigamon serves more than 4,000 customers worldwide, including over 80 percent of Fortune 100 enterprises, 9 of the 10 largest mobile network providers, and hundreds of governments and educational organisations worldwide. To learn more, please visit gigamon.com.
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Fonte: Business Wire
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