Built an open-source air-gapped 3D Spatial AI SOC with realtime voice & 7 major connectors. Thoughts
Hey Product Hunt community! 👋
I just open-sourced ARIA under the BSL 1.1 license: a voice-native, air-gapped 3D spatial AI SOC (Security Operations Center) cockpit.
Enterprise data sovereignty regulations in regions like the GCC strictly prohibit banks, government entities, and defense contractors from piping internal threat telemetry into cloud-hosted LLM endpoints. On top of that, standard security dashboards are static, text-heavy relics built in the 2010s that overwhelm analysts during live breaches.
What makes ARIA different:
Zero Third-Party Dependency: It runs fully local and air-gapped on open-weights models (Ollama/vLLM with Qwen). No telemetry ever leaves the local network.
Real-Time 2-Way Interruptible Voice: You can literally hit "Discuss" and have a live audio war room debate with the system to evaluate blast radius or pivot containment strategies mid-sentence.
The "Trust Ladder": Deterministic guardrails so routine tasks are automated, but critical network actions enforce human-in-the-loop signoff.
Check out the repo on GitHub: https://github.com/sidevworks/aria-sec
Would love to get your feedback! How are your security teams handling data sovereignty with enterprise AI right now?
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