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AI adoption is accelerating faster than enterprise preparation

As AI usage expands, enterprises face growing pressure to secure AI systems, manage distributed environments, and maintain performance at scale.

Is your infrastructure ready for AI in production?

Organizations are rapidly embedding AI into their operations, but many still lack the control needed to scale AI securely and effectively. There’s a growing gap between AI experimentation and operational readiness.


  • AI is becoming standard across the enterprise: 96% of organizations have deployed AI models, with many using it for traffic management, security operations, performance optimization, and automation.
  • Most organizations still aren’t ready to scale AI securely: while AI adoption is widespread, only 2% of enterprises qualify as highly AI-ready. Most organizations still lack sufficient governance, cross-cloud security, operational visibility, and infrastructure alignment.
  • Security and governance gaps are creating operational risk: only 31% of organizations have deployed AI-specific protections like AI guardrails. Without mature governance and modern safeguards, enterprises risk introducing new vulnerabilities as AI adoption expands.
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