Paris · France

AI Systems. Design. Deployment. Security.

We build your assistants, autonomous agents, RAG pipelines and AI workflows.
We test their security.

Talk about your project
What we do
Audit

AI & Security Audit

Assess the security and robustness of your AI systems before an attacker does.

  • Attack surface mapping (prompts, tools, data, access)
  • Offensive testing: prompt injection, exfiltration, jailbreak, agent abuse
  • OWASP LLM Top 10 / EU AI Act assessment
  • Actionable report with severity ratings and remediation
Deployment

AI Deployment

Design and ship AI systems that actually work in your real environment.

  • Internal assistants (HR, support, legal, technical)
  • Business agents with tool access (CRM, ERP, document bases)
  • RAG pipelines on your data (on-premise or controlled cloud)
  • Integration into your existing IS, not alongside it
Red Team

AI Red Teaming

Attack your AI systems using the same techniques a real adversary would use.

  • Attack scenarios calibrated on your architecture
  • Jailbreak, agent manipulation, exfiltration via tool calls
  • Multi-model robustness benchmarking
  • HackMachina as continuous testing infrastructure
Training

Training

Transfer AI and AI security skills to your teams — in practice, not in slides.

  • Cybersecurity + AI training (1 to 5 days)
  • Hands-on labs and challenges via x0ne.training
  • AI red teaming preparation for AppSec teams
  • Custom content aligned to your stack
Who it's for
CTO / Technical Directors
You're deploying LLMs internally. You need to know it's solid before it goes to production.
CISO / Cybersecurity Teams
Your perimeter now includes AI. You need people who can test and train on threats your tools don't cover yet.
Product / Innovation Teams
You're prototyping with LLMs. You need to move from PoC to product — with the right security guardrails.
Schools / Training Organizations
You want up-to-date, practical AI and cybersecurity content, and platforms that actually work.
Why x0ne
Cyber expertise.
Production, not prototype.
Offensive + defensive.
Fully custom.
Knowledge transfer.
Offensive AI security infrastructure

HackMachina

Our offensive security lab for AI systems. A simulation platform for attacking LLMs, agents, and AI pipelines.

  • Prompt injection, jailbreak, data exfiltration
  • Agent abuse and tool call manipulation
  • Multi-model robustness benchmarking
  • Continuous training for red team operators
Explore HackMachina → hackmachina.ai
Open source — Agent infrastructure
AIDO
Secure execution harness for AI agents.
Typed actions. Policy-enforced execution. Structured results. No raw shell.
Rust
Open source
Local-first
LLM
model
→
action.json
typed action
→
policy engine
check
→
executor
rust / sandboxed
→
result.json
structured result
No raw shell
Agents never execute bash directly. Every action is typed, named, declared.
Policy-enforced
Every action passes through an auditable policy engine before any execution.
Structured results
Results come back as JSON. The model reasons on data, not terminal noise.
Model-agnostic
Works with any model that outputs valid JSON. OpenAI, Anthropic, local — irrelevant.
Local-first
Runs on your machine. No cloud inference required. No telemetry.
Rust core
Memory-safe. No GC. The executor is small, auditable, and deterministic.
# install aido
curl -fsSL https://YOUR-INSTALL-URL.sh | bash
Explore AIDO → GitHub
x0ne.training — Hands-on training platform for cybersecurity, systems and AI.
Labs, challenges, serious games. ~1 000 users.
x0ne.training →

You have an AI project.
Let's talk.

Security audit, assistant deployment, team training, robustness testing.

Talk about your project contact@x0ne.co

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