AI Security Priorities vs. Outcomes: Where Adoption and Impact Diverge

AI is rapidly reshaping enterprise security, but adoption isn’t always aligned with measurable impact. In this report, 451 Analyst Daniel Kennedy unpacks where IT and security teams are actually realizing value from AI-enhanced tooling, and where priorities, budgets and outcomes are drifting apart.

Discover how your peers are balancing cloud security, multicloud complexity and emerging AI capabilities to protect critical workloads and data.

This report includes:

• Where AI is most deployed in security today vs. where it delivers the greatest impact
• Key AI use cases: malware detection, automated incident response, compliance checks and vulnerability assessment
• Why threat intelligence, data discovery and security awareness rise to the top for AI-driven impact
• How multicloud security pain points are shaping budgets, tool selection and marketplace adoption
• The evolving role of CSPM, CNAPP and SaaS security features such as MFA, user activity monitoring and DLP