Check Point Software has released its 2026 Cloud Security Report, revealing a growing disconnect between rapid AI adoption and security readiness.
The report reveals a critical shift from the cloud ‘blind spots’ of 2025 to a deeper challenge in 2026: organizations are no longer just struggling with visibility, but with governance, control, and real-time enforcement. AI is changing how users behave, how applications communicate, and where threats enter the environment. This year, 77% of organizations have updated their security strategy for cloud in response to AI, yet only 26% report having the architecture to enforce it. This reveals a 51-point gap between intent and capability.
Meanwhile, attackers are weaponising AI tools to accelerate phishing, generate malware, and launch adversarial attacks faster than traditional security models can respond. The impact is already measurable: 78% of organizations reported confirmed or suspected AI-related security incidents over the past year.
The 2026 Cloud Security Report confirms what many security practitioners already sense. AI adoption has outpaced the architecture built to govern it. Agents are acting inside live systems; data is moving through external AI services, and most enterprises still lack the visibility and enforcement to keep pace.
Stuart Green, Cloud Solution Architect at Check Point
Other key findings include:
- 52% of AI workloads span hybrid environments, yet 64% say their architecture needs redesign.
- 76% rate data centre security as critical for AI, but only 35% say it can support current needs.
- Only 24% can fully inspect AI traffic without impacting performance; 71% report increased WAF false positives.
- 88% say AI has increased security complexity; 67% report fragmented policies.
- 54% of organizations have experienced an AI-related security incident, while another 24% cannot confirm due to lack of visibility. This means more than three-quarters have either been hit or cannot determine whether they have.
- 48% cite non-human identities (AI agents, APIs) as a top concern.
- Organizations have yet to converge on a single access model. 24% say they have no AI-specific access controls, and only 16% enforce controls consistently across the environment.
Closing the AI security gap
To address these challenges, the report emphasises the need for a unified, prevention-first architecture across cloud, data centre, SaaS, and endpoints.
