What is VenomX?

VX

Precision. Speed. No Antidote.

Venom: calculated, precise, and delivered exactly where it needs to go. In offensive security, the best tools don't make noise. They find the gap, exploit it, and leave the operator in control.

X: unknown, undefined, the variable you're solving for. Every engagement is different. Every target exposes something unexpected. VenomX is built to adapt: a knowledge-backed agent that reasons about your specific target rather than giving you a generic answer.

Together: a local AI assistant that strikes fast, stays private, and never phones home.

How VenomX Came to Be

VenomX started as a frustration project. Existing AI tools were cloud-dependent, context-unaware, and useless the moment you needed operational security.

1

The Problem

Every AI assistant for security had the same flaw: it ran in someone else's cloud. Engagement data, target info, CVE queries all logged somewhere. Practitioners needed a tool that could reason about security without the opsec liability of a SaaS product.

2

The Vision

A fully local AI assistant that combined a large language model with a structured security knowledge base (CVE data, MITRE ATT&CK, exploit databases) and an agent loop capable of actually running tools. Not just answering questions. Acting.

3

Building the Stack

Nemotron 30B running on local hardware. A FastAPI backend exposing an OpenAI-compatible API. A RAG pipeline over a curated security corpus. Six security tool wrappers. An agent loop with structural guardrails. A custom UI. Built in parallel, integrated carefully.

4

Where We Are Now

VenomX is in active development, running real reconnaissance and triage workflows in a local lab environment. The architecture is proven. The roadmap is focused on expanding the knowledge base, hardening the agent loop, and refining the reporting pipeline.

Who Built VenomX

A small team of CS and AI students who got tired of waiting for someone else to build the tool they wanted to use.

Coleman Pagac
Coleman Pagac
Model & RAG Lead

Vector database, embeddings, CVE/exploit data pipeline, LLM orchestration & agent loop.

Khalid Mohammed
Khalid Mohammed
Agent & Tools Lead

Tool wrappers, decision logic, output parsing, attack chain logic & safety guardrails.

Jordan Martin
Jordan Martin
UI & Experience Lead

OpenWebUI customization, frontend components, network topology view & UX design.

Nick Guyette
Nick Guyette
Integration & Infra Lead

DevOps, testing environment, lab VMs, Docker setup, report generation & demo scenarios.

What We Stand For

Three principles that shape every decision about how VenomX is built, distributed, and used.

Privacy First

VenomX runs entirely on your hardware. No cloud API calls for inference. No telemetry. No engagement data leaving your machine. Operational security is structural, not a policy statement.

Precision Over Noise

Every component (the RAG pipeline, the agent loop, the tool output parsing) is designed to reduce noise and increase signal. Security work demands accuracy. Hallucinated CVEs and generic advice aren't just useless, they're dangerous.

Practitioner-Driven

VenomX is built by people who use security tools every day, not by product managers building what they think practitioners want. Feature decisions come from real workflows, not roadmap theater.

Get in Touch

Let's Talk Security

Questions about VenomX, the stack, or how we built it? We're open to conversations with other practitioners, researchers, and anyone curious about local AI in offensive security.

Contact Us