Security teams can’t keep up with how quickly AI hacks cloud security

Checkpoints Cloud Security Report 2026 warns that AI overwhelms cloud defenses
While 77% have updated their cloud strategies, only 26% have architectures capable of implementing them.
Researchers call for unified architecture focused on prevention

Artificial intelligence is breaking down cloud security at high speed and security teams simply can’t keep up. That’s one of the findings in the 2026 Cloud Security Report: Enter the AI Era, a new in-depth report from Check Point Software Technologies.

In the report, shared with TechRadar Pro Earlier this week, Check Point claimed that businesses are aware of the risks posed by AI in the wrong hands, but simply don’t 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.

Go beyond architecture

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

“AI adoption has outpaced the architecture designed to govern it. Agents act within live systems; data flows through external AI services, and most companies still lack the visibility and enforcement to keep up,” commented 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. »

Businesses face many challenges, especially in cloud-native environments, the report further highlights. In addition to infrastructure misalignment (52% of AI workloads span hybrid environments, but 64% confirmed their architecture needs to be rethought), there are serious perimeter gaps (76% consider data center security essential for AI, but only 35% say it can support current trends), as well as performance issues (only 25% can fully inspect AI traffic without impacting performance).

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

To mitigate these risks, businesses need a unified architecture focused on prevention across the cloud, data center, SaaS and endpoints, Check Point says.