AI Agent Firewall
Runtime protection for AI agents. 5 detection layers, 515+ threat signatures, on-device ML inference. Your data never leaves your infrastructure.
pip install raxe
3-Line Integration
Decorator pattern. No changes to your agent logic.
from openai import OpenAI
def chat(prompt):
client = OpenAI()
return client.complete(prompt)
from openai import OpenAI
from raxe import Raxe
@Raxe().protect
def chat(prompt):
client = OpenAI()
return client.complete(prompt)
5 Detection Layers
Defence in depth at every stage of the agent lifecycle.
View layer details
515+ signatures for known attack patterns including prompt injection, jailbreaks, and data exfiltration attempts.
5-head neural network ensemble runs locally via ONNX runtime. No data leaves your infrastructure.
Entropy scoring, perplexity measurement, and token distribution analysis for anomaly detection.
Optional small language model provides semantic verification for edge cases.
Tracks conversation context to detect multi-turn manipulation and slow-burn attacks.
Works with Your AI Framework
Enterprise Features
Export threat intelligence to your existing security stack.
Also supports CEF, Syslog, and custom webhooks
Community
Free
Forever. No credit card.
- All 5 detection layers
- 515+ threat signatures
- On-device ML inference
- Community support
- Free for developers & teams
Enterprise
Custom
Tailored to your needs.
- Everything in Community
- SIEM integrations
- Multi-tenant & SSO
- Dedicated support & SLA
- Research partnerships
Comprehensive Threat Taxonomy
Threat Families 14
Attack Techniques 35
Harm Types 10
Start Securing Your Agents
Community Edition. Free forever. No credit card.
pip install raxe
Enterprise Security?
SIEM integration, multi-tenant deployment, SSO, dedicated support.
Talk to Our Team