inferwall 0.1.3

Signature-based AI application firewall — protects LLM apps against prompt injection, jailbreaks, and data leakage

InferenceWall

Signature-based AI application firewall.

InferenceWall protects LLM-powered applications against prompt injection, jailbreaks, content safety violations, and data leakage using a curated catalog of detection signatures with anomaly scoring.

Features

• 70 detection signatures across 5 categories (injection, content safety, data leakage, system prompt, agentic)
• Rust-powered heuristic engine — <0.3ms p99 for pattern matching
• ML engines — ONNX classifier (DeBERTa/DistilBERT) + FAISS semantic similarity
• Anomaly scoring — multiple weak signals combine into strong signals (like OWASP CRS)
• Policy profiles — operators configure detection without code
• Three deployment modes: SDK, API server, reverse proxy
• API key authentication with scan/admin role separation

Installation

From PyPI (coming soon)

# Lite profile — heuristic engine only, zero ML deps
pip install inferwall

# Standard profile — adds ONNX classifier + FAISS semantic engine
pip install inferwall[standard]

# Full profile — adds LLM-judge for borderline cases
pip install inferwall[full]

From GitHub (now)

# Install from source (requires Rust toolchain)
pip install git+https://github.com/inferwall/inferwall.git

# Or clone and install
git clone https://github.com/inferwall/inferwall.git
cd inferwall
pip install -e ".[dev]"

Pre-built wheels

Download pre-built wheels from GitHub Releases or from CI artifacts:

# Download the wheel for your platform, then:
pip install inferwall_core-*.whl inferwall-*.whl

Quick Start

import inferwall

# Scan user input
result = inferwall.scan_input("user prompt here")
print(result.decision)  # "allow", "flag", or "block"
print(result.score)     # anomaly score
print(result.matches)   # matched signatures

API Server

inferwall serve

# Scan via HTTP
curl -X POST http://localhost:8000/v1/scan/input \
  -H "Content-Type: application/json" \
  -d '{"text": "What is the weather today?"}'

ML Models (Standard/Full profiles)

# Download models for the Standard profile (~730MB)
inferwall models download --profile standard

# Check what's downloaded
inferwall models status

CLI

# Test a single input
inferwall test --input "Ignore all previous instructions"

# Generate API keys
inferwall admin setup

Deployment Profiles

Profile	Engines	Latency	Install
Lite	Heuristic (Rust)	<0.3ms p99	pip install inferwall
Standard	+ Classifier + Semantic	<80ms p99	pip install inferwall[standard]
Full	+ LLM-Judge	<2s p99	pip install inferwall[full]

Documentation

• Quickstart
• API Reference
• Signature Authoring
• Policy Configuration
• Deployment Guide
• Contributing

License

• Engine code (Rust, Python, CLI, API): Apache-2.0
• Community signatures (catalog/): CC BY-SA 4.0 — modifications must be shared back