Local And Offline AI
XHack AI runs fully offline on your own local model via Ollama or llama.cpp, so your desktop security agent can work air-gapped with no data ever leaving your machine.
Local And Offline AI
Some engagements simply cannot send data anywhere. Classified environments, sensitive client systems, and air-gapped networks demand that everything stays put. XHack AI is built for exactly that. It is a graphical desktop security agent that can run entirely on your own machine, with no command line to wrestle and no cloud dependency, so privacy is a setting you choose rather than a compromise you accept.
Your Choice: Hosted Or Fully Local
XHack AI gives you two ways to power the agent. You can use the built-in hosted model for convenience, or point it at your own local model running through Ollama or llama.cpp. When you go local, the entire assessment happens on-premise. Nothing leaves your machine, no prompts, no findings, no target details. For anyone handling sensitive work, that fully offline path turns XHack AI into a private AI you control end to end.
Made For Air-Gapped Work
Because XHack AI can operate with zero cloud calls, it fits naturally into air-gapped and classified engagements where connectivity is restricted or forbidden. You can carry the same capable desktop agent into an isolated network and keep working exactly as you would elsewhere, confident that data privacy is preserved by design. There is no external service quietly in the loop, only the model running locally on hardware you trust.
Pick Your Model And Effort Level
Everything is configured right in the app with simple dropdowns, no editing files by hand. You choose which model to run, and you set an effort level of Low, Medium, or High. That effort setting lets you trade speed for depth. Lower is faster and lighter, while Higher goes deeper and unlocks a bigger context window for tackling more complex tasks. It puts the balance between quick answers and thorough analysis directly in your hands.
Example: Switch To Local In One Click
Suppose you are starting a sensitive assessment and want nothing touching the cloud. You open the model dropdown in XHack AI and switch it to a local Ollama model. From that moment on, every request runs on your own machine with zero cloud calls. You work through recon, testing, and analysis just as smoothly as before, but now the whole conversation and every result stays entirely offline.
Privacy Without The Tradeoffs
The best part is that going local does not mean going without. XHack AI keeps the same friendly graphical experience, the same chat-driven workflow, and the same visual controls whether you are on the hosted model or a private local one. You are not choosing between capability and confidentiality. You get both, and you decide per engagement which mode fits.
Confidence For Sensitive Engagements
For consultants, in-house teams, and anyone bound by strict data-handling rules, this flexibility is what makes XHack AI safe to bring into the most sensitive rooms. Run it hosted when convenience matters, and switch it fully offline and air-gapped when the stakes are high. Either way, XHack AI adapts to your privacy requirements instead of forcing you to work around them.
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