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### Multi-LLM security, routing, and cost control
Use the same Gateway to secure, govern, and control LLM consumption from all popular AI providers, including OpenAI, Azure AI, AWS Bedrock, GCP Vertex, and more.
### Keep visibility into AI consumption
Track LLM usage with pre-built dashboards and AI-specific analytics to make informed decisions and implement effective policies around LLM exposure and AI project rollouts.
### Make LLM rollouts more cost efficient
Save on LLM token consumption by caching responses to redundant prompts and automatically routing requests to the best model for the prompt.
### Generate and govern MCP servers
Automatically generate MCP servers that are secure, reliable, performant, and cost-effective by default.
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## Route and manage AI traffic at scale
Connect to any LLM provider, route requests dynamically, enforce access tiers, and keep your AI infrastructure resilient with automatic load balancing and failover.
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## Secure your AI with layered guardrails
Enforce prompt templates, filter unsafe content with semantic understanding, protect sensitive data with PII stripping, and integrate with 3rd-party guardrail providers for enterprise-grade safety.
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## Cut AI costs without cutting corners
Prevent budget overruns with dollar-based quotas, automatically route queries to purpose-fit models, and eliminate redundant LLM calls with semantic caching.