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CISSP-ISSAP · 20+ Years · #10 OnCon Icon, 2022

Secure AI DeploymentDeploy AI Without Opening New Risk

You are moving AI into production. Traditional security frameworks do not cover model access, shadow tools, or vendor AI. Get a deployment program with inventory, access controls, vendor checks, and board-ready evidence.

Starting at $15,000. See project pricing

Week 1

Kickoff inventory

Week 4

AI Inventory & Risk Register

Week 8

Board AI Risk Pack

Your AI ships with controls
Your team stays confident
Your risks stay visible

Trusted by

  • The Coca-Cola Company
  • Cigna
  • Optum Health
  • Lumen Technologies
  • Fannie Mae
  • Marriott
  • CDW
  • WWT
  • Carter's
  • Katalon
  • Hood Container
  • Envista Forensics
  • Cardow Jewelers
  • COR Partners
  • Eberl's
  • Payspan
  • ABM
The engagement

Two named artifacts, then you keep shipping

You are putting AI in front of employees and customers faster than security can review it. This engagement leaves you with two documents the board can hold, not a catalog of AI problems.

Week 4

AI Inventory & Risk Register

Every model, shadow tool, and vendor AI in one register, classified by data class and blast radius.

Week 8

Board AI Risk Pack

The briefing the board can reuse: residual risk, owners, and what to approve before the next rollout.

What's Included

Four outcomes, not a catalog

Inventory, access, vendor checks, and board evidence so the business can adopt AI without creating ungoverned exposure.

AI inventory

Shadow tools, vendor AI, and the data they touch, classified before you add more.

Access and model controls

Who can use which models, what data they see, and what happens when output is wrong.

Vendor AI due diligence

Questionnaires, contractual requirements, and a repeatable check for third-party AI.

Board evidence

NIST AI RMF, EU AI Act, and OWASP LLM notes that travel with the rollout, not a policy deck after the fact.

Board evidence

Frameworks the board can cite

Three short references. The work is the inventory, access controls, and vendor checks, not a policy encyclopedia.

NIST AI RMF

Govern who can ship, map what is already live, measure model and data risk, and manage incidents when production AI fails.

NIST AI RMF

EU AI Act

Classify systems by risk, document high-risk use, and put the deployment controls the Act requires in place before you sell into the EU.

EU AI Act

OWASP LLM

Review prompt injection, data leakage, and insecure output handling so the model layer has the same owner as the rest of the stack.

OWASP LLM Top 10
FAQ

Secure AI Deployment Questions

Common questions about putting AI into production with security and governance your board can defend.

Yes. The work starts with how AI is actually being used and rolled out: who can access it, what data it touches, and what vendors are already in the stack. Policy is the wrapper. Secure deployment is the point.

Next step

See if I should be in the room for the AI rollout

Thirty minutes is enough to see whether you need a secure rollout playbook, a governance program, or a lighter first step.