Controls

Put the guardrails in before AI goes live.

AI creates new ways for data to move and new questions about who can see what. We put access, privacy, and usage controls in place so AI can be used with confidence.

Discuss your AI readiness

Why it matters

AI tools can reach data in ways older systems never did. Without clear rules, sensitive information can end up in places it should not, and it becomes hard to say who used AI for what.

We help you set practical guardrails before AI goes live: who can use which tools, with which data, and how that use is recorded. The goal is to let your people use AI with confidence, not to slow them down.

What we hear

“People are already using AI tools, and we don't know what data they are sharing.”

“Leadership wants AI, and legal wants to know who approved it.”

“Our access permissions were never designed for AI search.”

What we deliver

Access and identity controls

Tighten identity and access so AI tools only reach the data each person is allowed to see.

Data protection and privacy

Identify and protect sensitive data so it stays where it belongs.

AI usage policies

Help you define practical policies for approved tools, acceptable use, and review.

Monitoring and audit trails

Put monitoring in place so you have a record of how AI is being used across the business.

What changes

Clear rules for who can use AI, and with what data

Sensitive data kept where it belongs

A record of how AI is being used

How we deliver

Plan

We learn your environment, your goals, and your constraints before we propose anything.

Design

We design the solution around how your business runs and the requirements you have to meet.

Deploy

We build, test, and deploy it, wherever the work needs to happen.

Manage

Where it is in scope, we keep it running and improving after launch.

Technology we work with

See all partners

Part of our relationships with over 80 technology manufacturers. We recommend what fits your environment, not a single vendor.

Zscaler

Questions we get asked

Do we need these controls before we can roll out AI tools?

We recommend having the basics in place first, especially access permissions, because AI tools surface whatever a user can already reach.

Will this block people from using AI?

No. The aim is to make approved use easy and risky use visible, so people can work with confidence.

Can you work with the security tools we already have?

Yes. Most environments already have much of what is needed. We configure and connect it before recommending anything new.

Connected practices

Cloud Engineering

Private, hybrid, and public cloud designed to be operated, not just launched.

Cybersecurity

Security across endpoint, identity, cloud, and applications, connected to the environment it protects.

Core Infrastructure

Network, compute, storage, data center, and workplace technology, including rack and technology integration.

Managed Services

Day-to-day operations and support from people who know your environment.

Let's talk about what you're building next.

Tell us what you're planning, where the work needs to happen, and what's getting in the way.