The Open Source Firewall for LLMs. A self-hosted gateway to secure and control AI applications with powerful guardrails.

LLM Security Platform.

AI security framework: deterministic input filtering, adaptive rule learning (389K pre-trained attacks), optional LLM veto verification. Zero dependencies. Works without an LLM. Patent Pending.

Self-hosted LLM firewall and agent guardrails that block prompt injection, redact PII, enforce RBAC, and secure tool calls.

Open-source AI security firewall. 81 engines for PII detection, prompt injection defense, MCP security, and egress classification. Local-first. Zero cloud dependency.

Self-learning prompt injection detection engine that gets smarter with every attack — 21 built-in detectors, vector similarity vault, community threat intelligence, and 3-gate protection for agentic AI applications

LLM Security Platform Docs

Open-source enforcement layer for LLM safety and governance — ingress/egress evaluation, policy packs, verifier support, and multimodal protection.

Lightweight firewall gateway for LLM APIs — detect prompt injection, PII leaks & token abuse in real-time

AI LLM Firewall -- Detection, Deception, and Intelligence for LLM Security. 9 SDK integrations, 12 LLM backends, 0% false positives. Apache 2.0.

The Self-Hosted AI Firewall & Gateway. Drop-in guardrails for LLMs running entirely on CPU. Blocks jailbreaks, enforces policies, and ensures compliance in real-time

Secure large language model access by enforcing role-based controls, detecting prompt injection and PII, while optimizing concurrency and performance.

🛡️ Detect and block prompt injection attacks in LLM apps using pattern detectors, ML, and community-driven feedback to improve security.