Skip to content
NZSNextZen SecuritySecure AI engineering

NextZen Security · Secure AI engineering

Build, contain and deploy enterprise AI safely.

NextZen Security pairs forward deployed engineering teams with a containment engine for AI deployments: code-level permission boundaries and secure agentic workflows, implemented directly inside your repositories. The engine is being productized from controls proven in client engagements.

Thirty minutes, no obligation. Written scope and fixed-fee proposal within one business day of your call.

What we do first

We make AI deployments safe to ship — in your repositories, not in a report.

How the controls fit

Every request passes a permission check before it reaches your data or tools.

We build the boundaries into the deployment itself: identity at the application, approval gates in the orchestration layer, restricted permissions on tools, and evaluation tests that run before each release.

AI deployment architectureIllustrative architecture.

Your AI application

Identity · Requests · Data boundaries

Permission checks

Agent orchestration

Tool access · Approval gates · Logging

Retrieval & data

Access boundaries

Tools & actions

Restricted permissions

Evaluation tests · Deployment controls

When clients call

Your AI prototype works. Is it ready for production?

From prototype to production

Your prototype is ready, but your team needs help implementing deployment safeguards.

Agents with production access

An agent needs production access, but its permissions have not been reviewed.

Evidence for enterprise buyers

An enterprise customer needs evidence of your AI controls before approving the purchase.

We also cover

The security assurance and compliance work around your AI.

Full-scope security assurance for AI-enabled businesses, delivered under the same written-scope, fixed-fee model.

From brief to handover

How an engagement runs.

  1. 01

    Discuss the deployment

    Review your AI system, business objective, engineering constraints and intended access.

  2. 02

    Agree the scope

    Define responsibilities, deliverables, dates and fixed fee in writing before work begins.

  3. 03

    Build and test

    Deploy NextZen control modules and verification tests inside your repositories, adapted to your environment, and test expected behavior and abuse cases.

  4. 04

    Review and hand over

    Deliver reviewed code, the deployed control modules, automated verification tests, documented decisions and a team walkthrough.

What stands between your AI prototype and production?

Thirty minutes, no obligation. Written scope and fixed-fee proposal within one business day of your call.