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.

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.