F5 survey finds security tops AI model deployment challenges at 48%

• F5 analysis identifies model routing as a strategic lever for reducing AI infrastructure costs, strengthening security and meeting data residency requirements.
• Security and guardrails challenge 48% of organizations surveyed; GPU costs affect 43%.
• Data residency concerns affect 23% of respondents; only 13% identify routing between models or versions as a major challenge.
• Outbound controls are used by 62% of respondents; 53% are trying to apply prompt and response inspection.
• Fragmented policy management correlates with greater AI challenges, highlighting the need for centralized routing policies to control costs and enforce safeguards.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. F5 Inc. published the original content used to generate this news brief on November 10, 2026, and is solely responsible for the information contained therein.