Check Point Software Technologies has released its 2026 Cloud Security Report, revealing a growing disconnect between the rapid adoption of Artificial Intelligence and organizational security readiness. The report shifts the focus from simple visibility issues to critical challenges in governance, control, and real-time policy enforcement. While 77% of organizations have updated their cloud security strategies to address AI, only 26% have implemented the necessary architecture to execute those strategies, creating a stark 51-point execution gap.
Attackers are increasingly leveraging AI to enhance phishing, generate malware, and accelerate attack speeds. Consequently, 78% of organizations reported confirmed or suspected AI-related security incidents over the past year. Paul Barbosa, VP of Cloud Security at Check Point, noted that security must be integrated directly into the architecture—from the infrastructure layer to the runtime environment—to maintain control over AI agents and external data flows.
Key Findings from the 2026 Report: - Infrastructure Misalignment: 52% of AI workloads span hybrid environments, and 64% of organizations admit their architecture requires redesigning. - Data Center Gap: Although 76% view data center security as critical for AI, only 35% feel their current solutions meet these needs. - Operational Complexity: 88% of respondents state AI has increased security operation complexity, while 48% cite non-human identities (AI agents, APIs) as a top concern. - Visibility Issues: 54% experienced AI incidents, while 24% could not confirm incidents due to a lack of visibility.
To bridge these gaps, Check Point advocates for a prevention-first integrated architecture. Key solutions include the AI Defense Plane for governing AI usage and the newly announced Agentic Network Security Orchestration Platform, which enables AI agents to autonomously manage policy creation and Zero Trust enforcement across hybrid environments.
FACT BOX
- Source: PR TIMES
- Category: サイバーセキュリティ / AI技術動向分析