Guardion - AI Firewall SDK

Guardion is a lightning-fast, context-aware AI Firewall SDK, built to protect LLM-based systems from prompt attacks and misuse. Seamlessly integrates with leading agent frameworks.

In the background, Guardion uses a robust Prompt Defense System developed by the GuardionAI research team. Our production-grade detection engine, ModernGuard, continuously evaluates threats using a multilayered architecture of classifiers, heuristics, and decoding pipelines.

✅ Tested and proven in production by major financial institutions.

🔬 Benchmarks

Detection Performance

Multilingual prompt attack evaluation for finance and e-commerce domains.

Model	Overall F1-Score
guardion/Modern-Guard-v1	0.9718
Lakera Guard	0.8600
protectai/deberta-v3-base-prompt-injection-v2	0.6008
deepset/deberta-v3-base-injection	0.5725
meta-llama/Prompt-Guard-2-86M	0.4555
jackhhao/jailbreak-classifier	0.5000

Notes

Tested on a multilingual, multi-attack dataset of 50K prompts with 40+ attack classes in 8 languages.

Evaluation data was built using real-world red team data from partners and the latest jailbreak and attack methods, including: encoding, prompt injection, jailbreaking, exfiltration & leakage, evasion & obfuscation, code and command injection, hard negatives (safe content), regular documents (safe content), regular chats (safe content), and more. See more details here.

Features

✅ Plug-and-play SDK for popular agent and LLM frameworks

🛡️ Real-time prompt inspection

🔍 Customizable detectors and security policies

🚀 Optimized for low latency and high throughput

How to use?

First, get an API Key at GuardionAI Console.

And store at the env var GUARDIONAI_API_KEY.

export GUARDIONAI_API_KEY=your-api-key

OpenAI Agents SDK

You need to install our SDK using our openai-agents extras with the following command:

pip install guardion[openai_agents]

from agents import Agent, Runner, InputGuardrailTripwireTriggered
from guardionsdk.openai_agents import guardion_guardrail

agent = Agent(
    name="Secure AI Assistant",
    instructions="You are a helpful and safe assistant.",
    input_guardrails=[guardion_guardrail],
)

And use it as shown in the file examples/openai_agents.sdk.

LangChain

We support Chat and simple LLM models from LangChain, in order to use it, you need to install our langchain extra.

pip install guardion[langchain]

from langchain_openai import ChatOpenAI
from guardionsdk.langchain import get_guarded_chat_llm
from guardionsdk.exceptions import InjectionDetectedError

GuardionOpenAI = get_guarded_chat_llm(
    ChatOpenAI
)
llm_guardion = GuardionOpenAI(model="gpt-4o-mini")

And in order to use it, just checkout our examples/langhchain.py file.