Sidecar Architecture & Inference Pipelines

Overview

The biggest operational risk in AI guardrails is latency and proxy failure. Traditional security tools route your LLM traffic through third-party servers, adding hundreds of milliseconds of latency and introducing massive security vulnerabilities. RTFCT Interceptor operates as a local sidecar wrapper.

INTERCEPTOR PIPELINE INSPECTOR v2.4

● SIDECAR ACTIVE

01 // INGRESS SPECIFICATION

Prompt and context payloads initiate inside your cluster container. The Interceptor SDK wraps the native LLM client locally in memory before network socket dispatch.

Data Boundary

Zero-Payload Storage

Proxy Status

Bypassed (Local)

CRYPTOGRAPHIC SCHEMA TELEMETRY

{
  "interceptor_version": "2.4.0-sidecar",
  "client_environment": "production-us-east-1",
  "data_boundary_mode": "ZERO_PAYLOAD_STORAGE",
  "proxy_routed": false
}

Why Sidecar Wins

Zero Proxy Routing: Your data flows directly from your server to your LLM provider (OpenAI, AWS Bedrock, Anthropic, or local Ollama instances). RTFCT never acts as a middleman proxy.
Sub-Millisecond Overhead: Local evaluation adds under 2ms latency overhead, ensuring your user experience remains lightning-fast.
Bring Your Own Policy (BYOP): Upload policy rules formatted in YAML or JSON directly into the sidecar. The engine evaluates requests locally before forwarding them to the model endpoint.

Ready to run this for real?

Choose Your Plan→What RTFCT Is Today→

Support & Technical Inquiries

Submit technical inquiries directly to the engineering team using the form below. Inquiries are processed in the order received with priority SLA routing for active enterprise tenants.

* OPERATIONAL DISCLOSURE: Direct telephone support, sales calls, and scheduled demos are strictly not offered. All technical support is executed asynchronously by engineering personnel.