Security teams can't keep up with how quickly AI is cracking cloud security

Checkpoints Cloud Security Report 2026 warns that AI is overwhelming cloud defenses
While 77% have updated their cloud strategies, only 26% have architectures capable of enforcing them.
Researchers urge unified architecture that prioritizes prevention

Artificial intelligence is cracking cloud security at high speeds and security teams simply can’t keep up. This is one of the conclusions echoed by the “Cloud Security Report 2026: Enter the Age of AI,” a new in-depth report published by Check Point Software Technologies.

In the report, shared with TechRadar Pro Earlier this week, Check Point stated that companies are aware of the risks posed by AI in the wrong hands, but simply do not have the means to address them. Apparently in response to AI, 77% of organizations have updated their cloud security strategy this year, but only a quarter (26%) have the architecture to implement it.

At the same time, AI is increasingly being weaponized in phishing and malware attacks, at speeds that “traditional security models” cannot respond to.

Overcoming architecture

“The impact is already measurable: 78% of organizations reported confirmed or suspected AI-related security incidents over the past year,” Check Point said.

“AI adoption has outpaced the architecture created to govern it. Agents act within live systems, data moves through external AI services, and most enterprises still lack the visibility and compliance to keep pace,” said Stuart Green, cloud solutions architect at Check Point. “Visibility, control and security must be present at all layers of the stack in which AI workloads will operate.”

There are numerous challenges for businesses, especially cloud-native environments, the report highlights. In addition to infrastructure misalignment (52% of AI workloads span hybrid environments, yet 64% confirmed their architecture needs a redesign), there are serious gaps at the edge (76% rated data center security as critical for AI, but only 35% said it can support current trends), as well as performance challenges (only 25% can fully inspect AI traffic without impacting performance).

Finally, there are issues with operational complexity (88% said AI increased security complexity), as well as issues with limited visibility (54% experienced an AI-related security incident, and 24% said they couldn’t confirm due to lack of visibility).

To mitigate these risks, enterprises need a unified architecture that prioritizes prevention across the cloud, data center, SaaS, and endpoints, Check Point says.