Privacy by physics, not by policy

Security that doesn't rely on someone else's promises

Cloud AI privacy depends on terms of service, retention windows and someone else's security team. Edge AI privacy is structural: the data physically never leaves. That's a stronger guarantee than any contract.

Threat model

Where AI data actually goes

Cloud AI exposure
  • Data in transit across the public internet
  • Stored & logged on third-party servers
  • Subject to subpoenas & foreign jurisdictions
  • Vendor breach = your data in someone's dump
  • Silent ToS changes you can't control
  • Shadow AI: employees pasting into random chatbots
VS
Edge AI posture
  • No transit — inference happens on your LAN
  • Logs and data under your retention policy only
  • Jurisdiction: your building, your laws, your control
  • Air-gap option: no external connection at all
  • Open-weight models: auditable, no hidden telemetry
  • One sanctioned private AI ends shadow-AI leakage
Architecture

Zero-trust AI, defense in depth

Private doesn't mean unprotected. Every deployment we build layers controls so that even a compromised laptop can't walk out with your model corpus or your data.

  • Identity-aware inference: every request authenticated & logged
  • Network segmentation: AI traffic isolated from the open internet
  • Encryption at rest and in-network, keys held by you
  • Egress monitoring: alert on any attempt to phone home
  • Full audit trail for every prompt, user and model version
UNTRUSTED OUTSIDE SEGMENTED NETWORK AI ENCLAVE Model + Data
Compliance made simpler

Your regulators will love the architecture

When data never leaves your controlled environment, entire categories of compliance questions answer themselves.

GDPR

Data minimization by design

No cross-border transfers, no third-party processors to paper, straightforward DPIAs. Personal data stays inside your borders and your access controls.

HIPAA

PHI under your BAA-free control

Patient data processed on hardware you own and audit. No business associate agreements with model vendors — because there is no vendor in the data path.

SOC 2 / ISO 27001

Auditable end to end

Every prompt, user and model version logged inside your environment. Evidence for auditors comes from your systems, on your terms.

Maximum assurance

Air-gapped AI: when "offline" isn't optional

Defense, critical infrastructure, R&D labs, legal privilege. Some environments can't have any external connection — and they shouldn't have to give up AI.

We build fully disconnected AI systems: models loaded via controlled media, updated on your schedule, with zero network dependency. The only way data leaves is if someone physically carries it out — which your existing controls already handle.

  • Fully disconnected inference clusters
  • Controlled model-update pipeline (signed media)
  • Tamper-evident deployment procedures
airgap-node-01 — isolated
ops@airgap verify --connectivity ✓ no external routes · radio disabled ✓ model signature valid (sha256 verified) → inference: online · internet: none ops@airgap run --model qwen3-32b "review brief.pdf" ✓ processed 42 pages · 0 bytes transmitted ops@airgap
Security FAQ

The questions CISOs actually ask

Different, not lesser — and in several ways they're stronger. Open weights are auditable by your own security team, run entirely inside your perimeter, and carry no hidden telemetry. Frontier closed models are excellent, but their security depends on a third party you don't control. We benchmark both and match the model to your threat model.
They live in your environment under your retention policy. You decide what's logged, where it's stored, who can see it and when it's purged — instead of inheriting a vendor's retention defaults and hoping their deletion SLAs hold.
Any system can be abused by a determined insider — but edge AI removes the biggest real-world leak: casual copy-paste into public chatbots. When your private AI is fast, capable and sanctioned, the reason to paste into public tools disappears. We pair deployment with policy and training to close the human gap.
Model updates are delivered as signed artifacts on controlled media, verified before load. In connected environments we mirror updates into your private registry on your schedule — with rollback, so an update never surprises production.
No. A single workstation can run a genuinely useful private AI for a team of dozens. We size engagements from 5-person startups to enterprises — the architecture scales down gracefully because commodity hardware got incredibly capable.

Want a free exposure audit?

We'll map where your AI data currently flows and show you exactly what a private architecture would close. No obligation.

Request the Audit