F5 enhances AI Gateway to control AI costs, access, and security
F5 integrated AI Gateway into its AI Security Platform, adding model routing, MCP governance, and guardrails, claiming up to 60% token spend reduction.
F5 announced AI Gateway enhancements combining a Model Gateway for cost optimization, an MCP Gateway for agent-to-tool access control, and AI Guardrails for prompt and response inspection. The company cited its 2026 State of Application Strategy Report finding 77% of organizations now treat inference as their dominant AI activity and manage an average of seven AI models. F5 claims smart routing, semantic caching, and GPU-aware load balancing can cut token spend by up to 60% without application changes. The gateway enforces budgets, model routing policies, and agent access controls centrally across SaaS, hybrid SaaS, and hybrid multicloud deployments, with air-gapped support planned.
- Model Gateway attributes tokens by provider, model, team, and user with per-team budgets.
- MCP Gateway adds per-tool authorization, a server registry, and full audit trails for agents.
- AI Guardrails redact sensitive data and block injection and jailbreak attempts, failing closed.
- F5 claims smart routing, semantic caching, and GPU-aware balancing reduce token spend by 60%.
- 77% of surveyed organizations report inference as their dominant AI activity, per F5's 2026 report.
- Vendors
- F5
- Organizations
- F5GartnerHelp Net Security
From the original article
4 min read at helpnetsecurity.comF5 has introduced enhancements to the F5 AI Gateway and integrated the solution into the F5 AI Security Platform. The enhanced F5 AI Gateway seamlessly enforces policies on every AI request, giving enterprises a unified control plane to govern how AI models, agents, and tools are accessed and used, while optimizing the economics of AI at scale.
By @helpnetsecurity · helpnetsecurity.com
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