NEW FRONTIERS: A GRC Practitioner’s Guide in the Age of AI

The vendor risk playbook for critical infrastructure was built for a world that no longer exists

AI is already embedded in your vendor ecosystem, your internal tools, and your SaaS stack, often with no contract language governing it and no procurement oversight in place. For energy, utilities, oil and gas, manufacturing, and Federal environments, annual assessments and static questionnaires were drawn for a slower, more predictable threat landscape. This white paper is your navigation briefing for governing third-party AI risk at the speed AI actually moves.

Download the guide to get Fortress Information Security's practitioner framework for managing AI vendor risk across complex, regulated supply chains.

What you will learn

• Why AI breaks traditional GRC assumptions for critical infrastructure, and which foundational principles hold when vendor risk velocity crosses a threshold
• A vendor tiering methodology built for AI, with three new dimensions to add to your existing model, including how autonomously a vendor's AI operates and where it sits in your data flow
• The AI Vendor Assessment checklist, a pre-flight list covering governance, data handling, security controls, and supply chain for onboarding or reevaluating AI-enabled vendors
• A modular governance architecture that stays defensible by design and flexible by necessity, so evolving guidance from NIST, CISA, sector regulators, or the EU AI Act does not force a full rebuild
• The Mission Readiness Levels model to benchmark your program across four maturity stages and identify where to invest next

Who this guide is for

GRC practitioners, security leaders, and supply chain risk managers responsible for third-party and nth-party vendor risk in critical infrastructure. Built for teams operating under NERC CIP, CISA guidance, DoD and Federal requirements, and the C-SCRM frameworks that govern regulated, technology-driven environments.

Frequently asked questions

What is third-party AI risk in critical infrastructure?
Third-party AI risk is the exposure created when the vendors supplying critical infrastructure operators embed AI into their products. For energy, utilities, and Federal environments, this goes beyond traditional supply chain cybersecurity: it accounts for how autonomously a vendor's AI operates, whether your operational data trains or fine-tunes their model, and the AI supply chain behind the vendor's product. It is a growing focus of C-SCRM and NERC CIP due diligence.

Why aren't annual vendor assessments enough for AI vendors?
AI-enabled vendors can change their data handling, model behavior, or underlying model provider with a software update, with no contract amendment or notification required. A vendor that passed assessment in one quarter may introduce new data retention practices or vulnerabilities in the next. High and critical tier AI vendors require continuous monitoring rather than point-in-time reviews.

How do you manage AI vendor risk for critical infrastructure?
Extend your existing tiering methodology with three AI-specific dimensions: autonomy (how independently the AI makes decisions), data exposure (whether your data trains or fine-tunes the model), and AI supply chain visibility (which foundation models and sub-processors power the product). Pair this with continuous monitoring for your highest-tier vendors rather than relying on annual reviews.

Who is Fortress Information Security?
Fortress Information Security specializes in supply chain cybersecurity and cyber risk management for critical infrastructure. Our Cyber GRC solutions give security leaders the visibility, structure, and assurance to govern risk in complex, technology-driven environments, including the ones that did not exist on last year's map.