LiteLLM Alternative with Native PII Redaction & Zero-Config Security

What LiteLLM Does Well

LiteLLM is the gold standard for multi-provider LLM routing, and for good reason. Credit where it's due:

Where a Routing-First Proxy Falls Short on Security

LiteLLM is built to route, balance, and track costs. Security is available through plugins and integrations — but it is not the core architecture. For teams handling sensitive data, this creates operational gaps:

Same Engine, Different Architecture

Both LiteLLM and AI Security Gateway use Microsoft Presidio as the base NLP entity recognition engine. Presidio provides the same role that OpenSSL provides to web servers — a proven foundation, not the product itself. The difference is where Presidio runs, how much you build on top of it, and how much setup is required:

For self-hosted deployments, AISG runs as a single container with Presidio embedded in the same process. No separate Analyzer or Anonymizer services needed. On top of Presidio's base entity recognition, AISG adds 15+ proprietary detection signatures (modern API key formats, prompt injection patterns, custom IP-Guard rules), a policy evaluation engine with per-project versioned policies, Vision OCR image scanning, and fail-closed enforcement logic. The DLP scan adds less than 60ms of latency per text request.

The AI Security Gateway Approach: Security by Default

AI Security Gateway is built for teams that need security from the first API call — not after infrastructure is provisioned and YAML files are configured. The full pipeline runs automatically on every request:

Feature Comparison

Side-by-side comparison of routing, security, and governance capabilities. Green indicates full native support, amber indicates partial or integration-dependent support, red indicates the feature is not available.

Migrate from LiteLLM

If you are already using LiteLLM as a proxy, switching to AI Security Gateway requires changing the base URL and API key. The OpenAI SDK interface is identical:

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-litellm-your-key",
  baseURL: "https://your-litellm-proxy.com",
});

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "os_hub_your_key_here",
  baseURL: "https://api.aisecuritygateway.ai/v1",
});

// PII redaction, vision OCR, prompt injection blocking,
// and budget enforcement are active immediately.
// No extra containers. No YAML config. No database.

curl -X POST https://api.aisecuritygateway.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_AISG_KEY" \
  -d '{
    "model": "oah/llama-3.3-70b-versatile",
    "messages": [{"role": "user", "content": "My email is test@example.com"}]
  }'

# Response includes aisg_metadata with:
# pii_detected: true, entity_types_detected: ["EMAIL_ADDRESS"],
# redacted_prompt: "My email is [REDACTED]"

Use Both Together

LiteLLM's strength is its broad provider coverage and routing sophistication. If you need both wide provider support and native security, you can chain them — use AISG as the security layer upstream of LiteLLM:

import OpenAI from "openai";

// Point your app at AISG for security
const client = new OpenAI({
  apiKey: "os_hub_your_key_here",
  baseURL: "https://api.aisecuritygateway.ai/v1",
});

// AISG scans, redacts PII, enforces budget.
// For broader provider coverage, you can configure
// LiteLLM as a downstream provider in your AISG setup.
// LiteLLM only ever sees the cleaned data.

When to Use Each

Add Native Security to Your LLM Pipeline

Create an account, get your API key, and every request is automatically scanned, redacted, and budget-checked. No containers to deploy. No YAML to configure. No database to provision. Protection from the first API call.