Input Output Validation
Inspect prompts and model responses for unsafe, non-compliant, or policy-violating content before it reaches users, tools, or downstream systems.
Protect production AI experiences with gateway-level guardrails that validate prompts, monitor model responses, catch unsafe content, and enforce compliance rules before outputs reach users. FastRouter applies consistent safety controls across every connected model and provider, helping teams reduce risk, preserve structured output reliability, and ship AI features with confidence in regulated or brand-sensitive environments.
Centralized AI guardrails for validation, compliance, logging, access control, evaluations, and production monitoring.
Inspect prompts and model responses for unsafe, non-compliant, or policy-violating content before it reaches users, tools, or downstream systems.
Apply PII masking, data privacy, data residency, and compliance logging controls for enterprise teams operating AI in regulated environments.
Capture detailed request and response logs with model, provider, latency, token counts, cost, and outcome data for debugging and audits.
Assign roles, manage API-key usage, and configure model access rules so only approved teams can use sensitive or expensive models.
Run structured evaluations to score outputs, compare models, detect quality drift, and verify that AI responses continue meeting standards.
Receive real-time alerts when policy issues, cost spikes, latency problems, or model failures exceed the thresholds your team defines.
Start by defining what your AI system should allow, block, validate, or log. Policies can reflect safety requirements, compliance expectations, brand standards, structured output needs, and the level of oversight required for different applications or teams.
See how production AI teams strengthen safety, governance, and reliability with centralized guardrails.
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
FastRouter helps teams enforce safer AI behavior without slowing production development.
Apply consistent validation rules across every model, provider, application, and team from one place.
Log violations, requests, responses, and outcomes to support debugging, governance, and compliance review.
Protect structured responses, tool calls, and downstream systems from malformed or unreliable model outputs.
Combine guardrails with routing, observability, evaluations, and cost governance in one LLMOps platform.
A platform team focused on reliable production AI.
FastRouter is built for teams moving beyond one-off model integrations into dependable LLM operations. As an OpenAI-compatible control plane, FastRouter unifies routing, observability, experiment tracking, evaluations, cost governance, and guardrails across 100+ models. The platform is designed for engineering, product, security, and compliance teams that need AI systems to run reliably in production while staying accountable. Instead of scattering policy logic across applications, FastRouter centralizes operational controls at the gateway, making it easier to validate behavior, compare models, monitor usage, and enforce consistent standards as AI workloads scale.
LLM guardrails are safety, compliance, and validation controls that inspect AI inputs and outputs before they affect users or downstream systems. They can detect unsafe requests, policy violations, malformed structured responses, sensitive data exposure, or off-brand content. In FastRouter, guardrails run at the gateway, so rules apply consistently across models and providers.
Get practical guidance for safer, compliant production AI.
Uniform policies across every model and provider
Built for fintech, healthcare, and enterprise AI
Complete request visibility for review and auditing
Tell us about your AI use case, compliance needs, and current model stack. We’ll help you evaluate how FastRouter guardrails can protect production requests without slowing development.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.