Nerve
Backend

Passes federal penetration testing // Hardened against AI attacks // Any cloud

ZERO Public Data Plane
FEDERAL Pen Test Standards
AI Threat Hardened

Pick A Shape, Not A Checklist

Sign in with the cloud account you already have and Nerve opens on these. Each one is a complete working backend in your own account — you pick the shape, then whether it is reachable from the internet or closed to everything but the addresses you name.

01

Classic web application

A site people visit, an API behind it, and somewhere to put the data

The usual shape: something public that people load, a private tier doing the work, scheduled and triggered jobs, a database and file storage. Pick this if you are not sure.

Frontend web appOPENBackend web appPRIVATEFunction appPRIVATERelational databasePRIVATEStorage accountPRIVATE
Virtual network Frontend web app Backend web app Function app Relational database Storage account
02

API only

No front end. Something else already owns that

For a mobile app, a partner integration, or a front end you host somewhere else entirely. Deliberately has no public web tier, so there is one less thing reachable from outside.

Backend web appPRIVATERelational databasePRIVATEStorage accountPRIVATE
Virtual network Backend web app Relational database Storage account
03

Container platform

You already build images and want somewhere to run them

A managed cluster with a private registry beside it. The control plane and the registry are both treated as data-grade rather than as infrastructure nobody looks at.

Container clusterPRIVATEImage registryPRIVATERelational databasePRIVATEStorage accountPRIVATE
Virtual network Container cluster Image registry Relational database Storage account
04

Event driven

Work arrives, gets queued, and something picks it up

For ingestion, processing pipelines and anything bursty. No always-on web tier: the queue is the front door, and it is closed.

Message queuePRIVATEFunction appPRIVATERelational databasePRIVATEStorage accountPRIVATE
Virtual network Message queue Function app Relational database Storage account
05

AI and retrieval

A model, an index of your documents, and the documents themselves

The retrieval stack, with all three parts closed rather than just the model. This is the shape that most often gets stood up outside IT and ends up holding the most sensitive material.

AI model endpointPRIVATESearch indexPRIVATEDocument storePRIVATE
Virtual network AI model endpoint Search index Document store

Deploys today on Microsoft Azure. Amazon Web Services and Google Cloud are read today and are an emitter away from deploying, because the blueprint itself contains no provider names.

Passes Federal Penetration Testing.
Hardened Against AI Attacks.

01

Federal Penetration Testing Standards

Most backends are assessed against whatever the team thought to check. This one is built to the penetration testing standards federal systems are held to, where an assessor actively tries to reach the data and the architecture either holds or it does not go live.

02

Hardened Against AI Attacks

Attackers now run automated reconnaissance and exploitation at machine speed, and any model endpoint you expose is a new way in. Inference traffic is isolated from the data plane, model endpoints are locked down and bounded, and adversarial input paths are constrained by design.

03

Nothing Public to Attack

The strongest result in a penetration test is a target the assessor cannot reach. Databases, storage, and internal APIs hold no public address, so most of what a test probes for does not exist on the network in the first place.

A Typical Backend Under Test
  • Databases reachable from the internet
  • Flat network, one foothold reaches everything
  • Access rules added case by case over time
  • AI endpoints exposed like any other API
  • Findings discovered after launch
Nerve Backend Under Test
  • Private endpoints only, no public data plane
  • Segmented tiers, blast radius contained
  • IP allowlisting enforced at every layer
  • Model endpoints isolated and bounded
  • Built to the standard before launch

Request A Demo

Nerve Backend runs on your machine, not ours. In a demo we point it at your own Azure, AWS, or Google Cloud account and you watch it read the estate you already have — live, read-only, nothing uploaded.

You see what it costs and what it will cost. What is running now, what the blueprint would add, and what that comes to as it grows. Infrastructure spend stops being a number that arrives at the end of the month.

You see what is exposed, and what closes it. Every resource a stranger can currently reach, the federal control each fix satisfies, and the same posture applied in one step.

Then you see it built. A backend that normally takes a quarter of architecture meetings, stood up in your own account while you are on the call. What it deploys is infrastructure-as-code you keep and can rebuild without us.

nerve-backend
$ nerve-backend connect aws
   Using local profile (no credentials sent)
   Read-only access verified

$ nerve-backend plan
  Network isolation ....... 14 resources
  Private endpoints ....... 9 resources
  Access restrictions ..... 7 resources
  Nothing applied. Review above.

$ nerve-backend apply
   Deployed to your account
   Templates written to ./nerve-backend/
macOS macOS 12 or later · Apple silicon and Intel Request a demoon macOS Runs natively on both
Windows Windows 10 and 11 · x64 Request a demoon Windows No installer, no runtime
Linux glibc desktop · x86_64 and arm64 Request a demoon Linux Desktop or headless

A demo runs on your estate or on ours. Nothing is installed on your side to see it, and nothing is deployed into your account without you agreeing to the list first.

Connect With Us

Headquarters

NERVE PLUS Inc
101 Jefferson Street, Floor 1
Menlo Park, CA 94205

Federal Division

1801 K Street NW
Washington, DC 20006

Contact

Enterprise Solutions
enterprise@nerveplusinc.com
+1 (650) 665-6100