2026 Cloud Security Report: Securing the AI Transformation

52% of AI workloads span hybrid environments

78% of organizations report confirmed or suspected AI-related security incidents over the past year

64% of organizations say their architecture needs redesign to support AI workloads

76% of organizations rate datacenter security as critical for AI

71% of organizations report increased web application firewall (WAF) false positives

88% of organizations say AI has increased security complexity

67% of organizations report fragmented security policies

24% of organizations cannot confirm whether they experienced an AI-related security incident due to lack of visibility

48% of organizations cite non-human identities (AI agents, APIs) as a top concern

24% of organizations say they have no AI-specific access controls

78% of organizations have either experienced an AI-related security incident or cannot determine whether they have

There is a 51-point gap between organizations' intent to secure AI in the cloud and their capability to enforce that security

26% of organizations report having the architecture to enforce their AI-related cloud security strategy

16% of organizations enforce AI access controls consistently across the environment

86% of leaders rate unified security management across cloud, datacenter, and edge as critical for AI workloads

35% of organizations say their datacenter security can support current AI needs

77% of organizations have updated their security strategy for cloud in response to AI

24% of organizations can fully inspect AI traffic without impacting performance

54% of organizations have experienced an AI-related security incident