Constellation Gate AI positions Gate as an inline gateway that sits between an agent and the model, screening every request in both directions for prompt attacks, secrets and personal data, while compressing prompts to reduce token spend.
Best for: Teams running coding agents that want prompt security and token reduction in one hop
- Inline injection blocking
- Secret and PII redaction
- Prompt compression
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Gate.AI is a unified model-access, intelligent-routing and enterprise AI governance platform. A single API fronts a large catalogue of models, with routing by task, cost and performance, plus cost visibility and enterprise governance.
Best for: Organisations consolidating access to many models behind one API with cost governance
- Unified access to 200+ models
- Intelligent routing
- Enterprise cost governance
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F5 AI Gateway applies F5's application delivery and security heritage to LLM traffic, inspecting prompts and responses and enforcing policy in front of model backends inside enterprise environments.
Best for: Large enterprises standardising AI traffic policy on existing F5 infrastructure
- Enterprise policy enforcement
- Prompt and response inspection
- Model backend routing
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Kong AI Gateway extends Kong Gateway with AI-specific plugins covering prompt guards, response handling, PII sanitisation, semantic caching, routing and rate limiting, deployable wherever Kong runs.
Best for: Platform teams already running Kong that want AI policy in the same data plane
- Prompt and response guard plugins
- Semantic caching plugin
- Multi-provider routing
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Portkey provides an AI gateway with guardrails, observability, caching, routing and budget controls. The gateway is published as an open-source project alongside a hosted platform.
Best for: Teams that want an open-source gateway with guardrails and spend controls
- Guardrails
- Caching and routing
- Open-source gateway
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Cloudflare AI Gateway proxies model traffic through Cloudflare's edge network, adding caching, rate limiting, analytics and spending controls, with guardrails and data-loss controls in the wider Cloudflare AI security portfolio.
Best for: Teams already on Cloudflare that want fast caching, analytics and spend limits
- Edge caching
- Rate and spend limits
- Cross-provider analytics
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TrueFoundry's AI gateway combines guardrails, caching, routing and usage visibility with deployment inside a customer's own cloud, aimed at enterprises that cannot send prompts to a third-party SaaS.
Best for: Enterprises that need gateway capabilities inside their own cloud boundary
- Private deployment
- Guardrails
- Caching and routing
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FortiAIGate applies Fortinet's network security portfolio to AI traffic, covering prompt attacks, data leakage, model protection and resource-consumption abuse with on-premise deployment options.
Best for: Security organisations standardising AI controls inside an existing Fortinet estate
- Prompt-attack protection
- Data-leakage controls
- On-premise deployment
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Microsoft exposes AI gateway capabilities through Azure API Management, including token quotas, semantic caching, backend routing and integration with Azure AI Content Safety for moderation.
Best for: Organisations standardised on Azure that want gateway policy in their existing API layer
- Token quotas
- Semantic caching
- Backend routing
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NeuralTrust's TrustGate is an AI gateway focused on prompt-attack protection, PII redaction, API abuse controls, semantic caching, token policies and observability, with the gateway published on GitHub.
Best for: Security-minded teams that want an open-source gateway they can inspect and run
- Prompt-attack protection
- Semantic caching
- Open-source gateway
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