F5

Nearly 29% of organizations identify prompt layers as the top AI delivery mechanism.

23% of organizations prioritize token layers for AI delivery and security.

78% of organizations run AI inference themselves.

21% of companies have low-readiness for AI.

70% of "moderately ready for AI" organizations have generative AI in active use.

Just 24% of organizations practice continuous data labeling.

Organizations coordinate an average of seven AI models in production.

77% of organizations report that inference is their dominant AI activity.

Only 8% of organizations rely exclusively on public AI services.

88% of organizations have faced AI-related security challenges.

98% of organizations are preparing for agentic AI.

93% of organizations operate across multiple clouds.

86% of organizations run applications across on-premises, public cloud, and colocation environments.

Only 18% of moderately ready organizations have deployed an AI firewall.

On average, 25% of apps use AI, with "highly ready for AI" organizations typically using AI in a much higher percentage.

Only 31% of organizations have deployed AI firewalls.

"Moderately ready for AI" organizations currently have AI present in about one-third of applications.

Low-readiness 9for AI) organizations use AI in less than one-quarter of their apps.

77% of companies are moderately ready for AI.

Only 2% of global organizations are highly ready to scale AI securely across operations.

The average organization uses three AI models.

71% of all respondents already use AI to augment security.

Nearly two-thirds of survey respondents (65%) use two or more paid AI models and at least one open-source model.

47% of moderately ready organizations aim to have deployed an AI firewall within a year.