Check Point Report Finds Major AI Security Enforcement Gap in Enterprises

Check Point Software Technologies Ltd. announced in a press release the findings of its 2026 Cloud Security Report, which highlights a widening gap between AI adoption and enterprise security enforcement. The study shows that 77% of organizations updated their cloud security strategies to account for AI, but only 26% have the architecture to enforce those measures.

The report identifies several challenges contributing to this gap, including limited visibility, fragmented policies, and increased operational complexity. Over three-quarters of organizations experienced or suspected AI-related security incidents, with many unable to confirm due to insufficient monitoring. Nearly half cited non-human identities such as AI agents and APIs as top security concerns.

Among the technical findings, 52% of AI workloads now span hybrid environments, and 64% of respondents said their current architecture needs redesign. Only 24% can fully inspect AI traffic without performance degradation. The report also notes that 76% of organizations rate datacenter security as critical for AI workloads, yet only 35% believe their systems can support current needs.

To address these issues, Check Point is promoting a unified prevention-first security architecture that integrates cloud, datacenter, and endpoint protections. Its Hybrid Mesh Network Security approach aims to provide consistent policy enforcement, real time threat prevention, and identity-based protection across all environments.