AI forces security leaders to rethink hybrid cloud strategies
Hybrid cloud infrastructure is under mounting strain from the growing influence of AI, according to Gigamon.
Cyberthreats grow in scale and sophistication
As cyberthreats increase in both scale and sophistication, breach rates have surged to 55% during the past year, representing a 17% year-on-year 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.
46% of security and IT leaders say managing AI-generated threats is now their top security priority. One in three organizations report that network data volumes have more than doubled in the past two years due to AI workloads, while 47% of all respondents are seeing a rise in attacks targeting their organization’s LLM deployments. 58% say they’ve seen a surge in AI-powered ransomware—up from 41% in 2024.
91% concede to making compromises in securing and managing their hybrid cloud infrastructure. The key challenges that create these compromises include the lack of clean, high-quality data to support secure AI workload deployment (46%) and lack of comprehensive insight and visibility across their environments, including lateral movement in East-West traffic (47%).
Public cloud risks prompt industry recalibration
Once considered an acceptable risk in the rush to scale post-COVID operations, the public cloud is now coming under intense scrutiny. Many organizations are rethinking their cloud strategies in the face of their growing exposure, with 70% of security and IT leaders now viewing the public cloud as a greater risk than any other environment.
As a result, 70% report their organization is actively considering repatriating data from public to private cloud due to security concerns and 54% are reluctant to use AI in public cloud environments, citing fears around intellectual property protection.
As cyberattacks become more sophisticated, the limitations of existing security tools are coming sharply into focus. Organizations are shifting their priorities toward gaining complete visibility into their environments, a capability now seen as crucial for effective threat detection and response.
55% of respondents lack confidence in their current tools’ ability to detect breaches, citing limited visibility as the core issue. As a result, 64% say their number one focus for the next 12 months is achieving real-time threat monitoring delivered through having complete visibility into all data in motion.
Deep observability becomes the new standard
With AI driving traffic volumes, risk, and complexity, 89% of 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% 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% 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.”
The study surveyed over 1,000 global Security and IT leaders across Australia, France, Germany, Singapore, the UK, and the United States.