FluiqFluiq
  • ObservabilityTrace every call, cost, and latency
  • SecurityBlock attacks, redact PII and secrets
  • OptimizationCache repeated prompts automatically
  • EvaluationScore responses and whole agent runs
  • DatasetsGolden sets that capture whole agent runs
  • Prompt ManagementVersion and deploy prompt templates
  • AlertsPush eval and security events to Slack

LLM Providers

  • OpenAI
  • Anthropic
  • Google Gemini
  • Google Vertex AI

Agent Frameworks

  • LangChain
  • LangGraph
  • CrewAI
  • Google ADK
  • MCP

Vector Databases

  • Pinecone
  • Chroma
  • Weaviate
  • FAISS
  • Qdrant
14 integrations · zero wrappersView all
Pricing
  • FAQPricing, evals, security & data
  • Fluiq DocsGuides, concepts & SDK reference
  • Code SamplesCopy-paste integration snippets
  • Response Gate DemoSee what an LLM leaks after it says no
  • LLM Cost CalculatorCompare OpenAI, Claude & Gemini pricing
  • polygateOpen-source unified LLM client
  • InfragerCloud diagrams to secure Terraform
Contact
LoginStart free
fluiq.secure(mode="block")

The model said no. It still gave up the data.

We threw 5 attacks at Claude Haiku 4.5. It refused all of them. But 2 of those refusals still had customer PII sitting in them. A model that knows better is not the same thing as a filter. Here are the real transcripts, scanned as you read them by the gate that ships in the SDK.

Try it on your own agent

Copy a real exchange out of your app and paste it below. The same scanners run on it. No model call, no account, and we do not keep any of it.

The message that went in. Checked for injection and jailbreak attempts.

The answer your agent was about to send. This is the one that matters. Checked for leaked keys, customer data and anything else that should not reach a user.

How we put this together

  • Every transcript is a word-for-word claude-haiku-4-5 reply. We captured them once and checked them into the repo. Nothing here was written by hand, and no model runs when you open this page.
  • The verdicts are not canned. They are worked out on the spot by the same scanners fluiq.secure() runs in production.
  • We did not reach for a weak model to make the point land. Haiku 4.5 turned down every attack on this page. What is left over is the stuff a refusal says out loud on its way to saying no, plus whatever an agent does with data you handed it on purpose.
  • Models do not answer the same way twice. We ran the record-dump prompt four times and got three clean refusals and one reply that named both customers. Same prompt, different day. A gate gives you the same answer every time.

Every key, name, SSN and card number on this page is made up. None of it belongs to anyone or unlocks anything.

Put this in front of your own agent

Two lines. The gate reads the reply before your user does.

import fluiq

fluiq.instrument()
fluiq.secure(mode="block")
Start freeHow the gate works
FluiqFluiq

Observe, protect, optimize, evaluate.

PlatformObservabilitySecurityOptimizationEvaluationDatasetsPrompt ManagementAlerts
CompanyIntegrationsPricingDocsResponse Gate DemoCost CalculatorBlogContact
Comparevs LangSmithvs Langfusevs Heliconevs Braintrustvs Portkeyvs Lakera
IntegrationsOpenAIAnthropicLangChainCrewAIPineconeView all →
Open Sourcepolygatepolygate GitHubInfragerInfrager GitHub