AI Security & Governance

Security and Governance Before AI Goes Live

Your team is already using AI. AI Security & Governance puts controls around it: where AI runs, who can use it, what it may touch and how each action is reviewed.

We bring a cybersecurity company's discipline to your AI.

The risk

AI Adoption Moves Faster Than the Controls Around It

Most AI risk does not come from one big decision. It comes from many small ones nobody reviewed.

Unapproved Tools

Staff sign up for AI tools on their own. Business data goes into systems nobody approved or reviewed.

Access Without Limits

An AI connected to shared drives can surface files a person should not see. Access must follow the permissions you already set.

No Record of What AI Did

When an AI action cannot be traced to a person, no one can review it, correct it or answer for it.

What we put in place

Four Controls Around Every AI System

Your Environment

AI runs in your own Microsoft, Google or AWS environment. We map where your data lives and where AI may run.

Your Permissions

One AI. Different keys for different people. Access follows the roles and permissions you already manage.

Your Rules

Policies for approved tools, data handling and human review. Designed to meet the regulations you operate under.

Your Property

Policies, configurations and records stay with you. Leave anytime.

How it works

From Assessment to Ongoing Review

Four steps. Each one ends with something your team can use.

Step 01

Assess

We review the AI tools in use, the data they touch and who has access. You get a clear picture of where you stand.

Step 01

Assess

We review the AI tools in use, the data they touch and who has access. You get a clear picture of where you stand.

Step 02

Set the Rules

We write the AI use policy, data handling rules and approval process with your team.

Step 02

Set the Rules

We write the AI use policy, data handling rules and approval process with your team.

Step 03

Configure the Controls

We set access, logging and review controls in your environment, matched to the permissions you already manage.

Step 03

Configure the Controls

We set access, logging and review controls in your environment, matched to the permissions you already manage.

Step 04

Review and Adjust

We check the controls on a set schedule and update them as tools, teams and regulations change.

Step 04

Review and Adjust

We check the controls on a set schedule and update them as tools, teams and regulations change.

What you keep

The Documents and Controls You Leave With

AI Tool Inventory

A list of the AI tools in use, who uses them and what data they touch.

AI Use Policy

Clear rules on which tools staff may use and for what work.

Data Handling Rules

Which data AI may use, which it may not and who decides.

Access Map

Who can use each AI system, matched to roles you already manage.

Logging and Review

A record of AI actions tied to a person, with a set review schedule.

AI Incident Steps

What your team does when an AI tool exposes data or gives a wrong result.

Right fit?

Built for Teams Accountable for AI Risk

For leaders who must answer for how AI handles company and client data.

  • You are an IT, security, compliance or operations leader responsible for AI use.
  • Staff already use AI tools, and you do not have a full list of them.
  • You operate under industry regulations or client data obligations.
  • You plan to connect AI to company files, email or business systems.
  • You want controls in place before a problem forces them.

Assess. Then Stay Governed.

Start with a flat-fee assessment of the AI your team uses. Then keep the controls current with a monthly subscription, in your environment and under your rules.

How pricing works

  1. Assessment deposit

    Paid online when you book. Counts toward the $4,500 assessment.

    $2,000

  2. Security and governance assessment

    Flat fee. The $2,500 balance is on a payment schedule.

    $4,500

  3. Ongoing governance

    Monthly subscription after the assessment.

    $1,750/month

Pay $2,000 deposit

Including features

  • Shadow AI tool discovery
  • Data exposure review
  • Access control (RBAC) and data loss prevention (DLP) review
  • Policy gap analysis
  • Board-ready findings report
  • Ongoing: tool inventory maintenance and policy updates
  • Ongoing: DLP monitoring
  • Ongoing: quarterly governance report

Questions Before You Start

Your rules

Put Controls Around the AI You Already Use

Bring a list of the AI tools your team uses. Or bring the question of what they use. We will start there.