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AI systems. Design. Deployment. Security.

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What we do Full catalogue →
Audit

AI Audit & Security

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
Deployment

AI Deployment

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

  • Internal assistants (HR, support, legal, technical)
  • Business agents with tool access (CRM, ERP, document stores)
Red Team

AI Red Teaming

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

  • Attack scenarios calibrated on your architecture
  • Jailbreak, agent manipulation, exfiltration through tools
Training

Training

Pass AI and AI security skills on to your teams, hands on.

  • AI dev, AI ops and AI security tracks (1 to 5 days, on site or remote)
  • Hands-on labs and challenges through x0ne.training
Benchmark

Benchmarking & Evaluation

Measure what your AI systems actually do: quality, cost, latency, robustness · with reproducible protocols.

  • Multi-model comparisons on your prompts and your data
  • Agent evaluation: success rate, hallucination, tool drift, cost per task
R&D

R&D & Tooling

Open-source tools maintained by x0ne, integrated into your stack · not a black box.

  • x0ne harness: safe open-source coding agent, 93 typed actions, TOML policy (MCP server, optional Podman/Incus isolation)
  • x0ne confidential inference: an inference server that refuses to serve outside an attested enclave (Intel TDX, NVIDIA H100), a signed receipt per request
  • MCP integration: Claude Code / Codex / Cursor connected to your systems
Why x0ne
Security expertise.
Production, not prototype.
Offensive + defensive.
Fully custom.
Skills transfer.
Offensive security challenge

HackMachina

Attack simulation platform for LLMs, agents and AI pipelines.

  • Prompt injection, jailbreak, data exfiltration
  • Agent abuse and tool call manipulation
  • Multi-model robustness benchmarking
  • Continuous training for red teams
Open source · Agent infrastructure
x0ne harness
A safe open-source coding agent.
93 typed actions. Declarative policy before 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 run bash directly. Every action is typed, named and declared.
Policy-enforced
Every action is checked against a TOML policy before execution. What the policy does not allow goes to a human confirmation, which denies by default.
Structured results
Results come back as JSON. The model reasons over data, not terminal noise.
Model-agnostic
Anthropic, OpenAI, local models through Ollama, or any OpenAI-compatible endpoint such as vLLM.
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.
Confidential computing · Inference
x0ne confidential inference
Confidential Inference Only.
An inference engine that only runs inside an attested enclave.
Rust
Intel TDX
NVIDIA H100 CC
# early access
contact@x0ne.co

training platform

Organise, track and adapt
hands-on training.

Courses, projects, labs, quizzes, instant feedback and progress tracking. A complete framework for technical training.

See the platform →
Cybersecurity Machine Learning Linux Networking Reverse Engineering Pentest AI Security Low-level Dev

Got a project?

Audit, deployment, training, red teaming.

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