CrowdStrike State of Cloud Detection and Response Survey
Discover what 1,000 global security leaders revealed about where cloud detection and response is breaking down.
Gaps in cloud detection and response are
fueling adversary success
The data reveals a clear pattern: Visibility gaps, slow response, and operational inefficiencies are giving adversaries a decisive advantage.
%
%
%
Critical weaknesses in cloud detection and response
Closing the window for adversaries starts with exposing where cloud detection and response breaks down and why.
Detection is only as reliable as the visibility behind it
73% of respondents can’t consistently detect cloud intrusions. Gaps across identities, workloads, and the control plane leave critical activity unseen. Without full visibility, adversaries can operate across the cloud attack surface undetected.
Speed gaps give adversaries the edge
Adversaries can break out in seconds,¹ yet most organizations take minutes or longer to detect intrusions. 68% report taking 15 minutes or more to detect attacks, and 91% can’t contain them in real time, leaving a critical window where adversaries can operate freely.
Fragmented tools are increasing operational complexity
Organizations rely on multiple tools and manual investigations to detect and respond to threats. 95% report integration gaps with their main SOC workflows, delaying response and increasing operational complexity.
AI adoption expands the cloud attack surface
Rapid AI/machine learning (ML) adoption is driving larger, more complex cloud footprints, expanding the attack surface faster than security can keep up. Nearly half (47%) of organizations report having experienced incidents or suspicious activity targeting cloud-based AI/ML in the past 12 months.
Featured Resources
¹CrowdStrike 2026 Global Threat Report