Compare the AI gateways and security platforms that protect LLM applications from prompt injection, sensitive-data exposure, unauthorized agent actions, and unnecessary token costs.
Inspect prompts and tool output before the model acts on them.
Protect sensitive data
Detect and redact personal data, credentials and secrets in both directions.
Reduce token consumption
Compression and caching remove work before it is billed.
Control AI spending
Budgets, routing and attribution keep agent spend predictable.
Application or AI agent
Prompts, tool output, retrieved docs
AI Gate
One inline control point
Security and cost controls
Inspect, redact, cache, route, budget
AI model
OpenAI, Anthropic, Gemini, open weights
Every request takes one hop. That hop is where safety, necessity, model choice and cost are decided.
What Is an AI Gate?
AI security and AI cost control are quickly becoming one infrastructure decision.
An AI gate is a control layer between an application, employee, AI agent, and the models they use. Depending on the platform, it may inspect prompts, block malicious instructions, protect sensitive information, enforce access policies, route requests, cache repeated responses, compress prompts, and track AI costs.
The best AI gateways do more than protect prompts. They also help control and reduce the cost of running AI — which is why we score security and cost capability separately, and publish the source for every capability we mark.
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
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
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
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
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
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
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
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
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
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
Not publicly documentedNot publicly documented. Not publicly documented.
Not publicly documentedNot publicly documented. Not publicly documented.
AvailableAvailable. Verified from official documentation.
AvailableAvailable. Verified from official documentation.
Capability marks reflect documented behaviour only. “Verification pending” means our research desk has not yet confirmed the capability against an official source — it is not a statement that the feature is missing.
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