Product
Route AI requests from apps, IDEs, and API clients through a single policy checkpoint — deployed on-premise or in your VPC. Evaluate prompts before they reach external models, enforce data protection policy, and control model routing, fallback, and inference costs from one operational layer.
Operational Control
Run the gateway inside your own infrastructure. Policy enforcement and prompt evaluation stay local — no data routes through vendor clouds.
Route AI requests to preferred inference models from a single control point. Switch providers across the organization without changing client configurations.
Configure failover routes so requests redirect to an alternative model when a provider is unavailable — no downtime, no manual intervention.
Track and manage AI inference costs across teams, tools, and models. Set limits and gain visibility into spending from one operational layer.
Reduce latency and redundant calls through response caching, request batching, and intelligent load distribution across inference endpoints.
Policy checks run inside your network — not in a cloud service. Prompt content is evaluated and enforced before it leaves your network boundary.
How It Works
An app, IDE, or API client sends the AI request through the governed route.
The gateway evaluates prompt content against the active, centrally distributed policy.
The configured outcome — allow, warn, redact, or block — executes before the request proceeds.
A metadata-only event is recorded for audit and operational review.
Gateway Control
Deployed on-premise or in your VPC. Policy enforcement runs locally — not through a vendor cloud.
AI Gateway sits between users and external AI models, applying the same policy logic regardless of which tool initiated the request. The gateway deploys inside your infrastructure — on-premise or in a VPC — so prompt content never routes through an external inspection service.
Controls execute at the moment of submission: the gateway evaluates prompt content against centrally distributed policy and enforces the configured outcome before the request proceeds.
Direct AI requests from apps, IDEs, and API clients through one governed channel instead of securing each tool independently.
Evaluate prompt content against policy before it reaches external AI models, not after.
Run the gateway inside your own infrastructure — on-premise or in a VPC — with no dependency on external cloud inspection.
Operational Control
Manage model routing, fallback behavior, and inference costs alongside governance policy.
AI Gateway isn't just a policy checkpoint — it's the operational control plane for your AI infrastructure. Route requests to preferred models, configure automatic fallback when a provider is unavailable, and track inference costs across teams — all from the same layer that enforces data protection policy.
Standardize allow, warn, redact, and block decisions so outcomes are consistent across all governed AI interactions.
Route requests to preferred inference models and configure automatic failover when a provider is unavailable.
Track and manage AI inference costs across teams and tools from a single operational point.
Central Policy Manager + Central Audit Server
The governance foundation every enforcement product depends on. Author, version, and sign policies in one control plane, distribute them to gateway and browser surfaces, and capture metadata-only audit signals — no prompt content retained, no per-user profiling by default.
Explore productSecure AI Browser
Give AI work a dedicated, policy-controlled browser — separate from everyday sessions. Users interact with web AI tools in an approved environment where prompt-time enforcement, session isolation, and data boundary controls are active by default.
Explore productBrowser Extensions
Deploy prompt-time guardrails directly inside the AI web interfaces your teams already use. Browser Extensions add pre-submission enforcement — warn, redact, or block — at the endpoint, with no infrastructure changes and no new tools for users to learn.
Explore product