You're Already Running AI. Now You Need to Govern It.
Copilots, embedded agents, and AI-powered SaaS features are already operating in your environment. Most of them went live before any policy, logging, or oversight was in place. That’s not a theoretical risk. It’s a gap that will surface the next time a partner runs a vendor-risk questionnaire, your insurer renews your cyber policy, or a prospective client asks how you handle AI in your environment.
We built a structured, auditable AI governance program anchored on NIST AI RMF 1.0, crosswalked to CIS Controls, SOC 2, HIPAA, and NIST CSF 2.0, and we ran it against our own environment before we offered it to anyone else. What we deliver isn’t a framework deck. It’s an operating program with evidence to prove it.
We’ve never been known as big talkers
And We Think that’s a Good Thing. At Safe Network Solutions, We Prefer to Let Results Speak for Us.
Chad Leitch
Tara Thomas
Darren Cash
Book Your Review
Schedule an AI Governance review, and we’ll walk through your current AI use cases, identify the gaps, and show you exactly how the program maps to your existing compliance obligations.
3 Risks You Face With Ungoverned AI Use
A Compliance Gap Becomes a Contract Problem
Vendor-risk questionnaires and insurance renewals now include direct AI governance questions. If you can’t answer them, partners stall their evaluations, insurers flag the gap, and deals that were moving forward stop dead in their tracks.
Your Data Goes Places You Didn't Approve
Without defined rules governing what AI tools can access and retain, sensitive client data, internal financials, and protected health information can be ingested by vendor-hosted models under terms you never reviewed.
You Inherit Liability You Don't Know You Have
AI tools in your environment are making decisions and generating outputs right now. Without documented oversight, human review procedures, and an incident response path, you own every error, every bias, and every downstream consequence with no evidence you ever tried to prevent it.
Bottom line: when the AI governance question pops up (and it will), businesses that can’t answer it face real consequences. “We’re working on it” is not an answer, and neither is a policy document no one runs against. That’s why we developed this AI governance program.
What Our AI Governance Program Does For You
Put simply, this is a comprehensive, internally-tested program that governs every AI tool operating in your environment, aligned with the compliance frameworks you already report on. That means…
- You Know What’s Running
Every AI tool in your environment is inventoried, risk-tiered, and assigned an owner before it operates. Nothing runs without a record, a purpose, and a person accountable for it. - You Can Answer the Audit Question
When a partner, insurer, or auditor asks how you govern AI, you hand them a documented evidence pack. No scrambling, no verbal assurances, no gaps. - Your Data Stays in Bounds
Every AI system operates under defined data handling rules. Vendor training opt-outs, data classification limits, and BAA-aware handling are built in, not bolted on after the fact. - Your Team Stays in Control
Every high-risk system has a documented human override path before it goes live. If something drifts, degrades, or needs to be shut down, your team has the procedure to act immediately.
We Built This for Ourselves First, Then We Offered It to Clients.
Before we extended this program to any partner, we implemented it against our own AI environment. We inventoried six high-risk use cases, tiered and assigned named owners to each one, and crosswalked four compliance frameworks so AI governance sits inside our existing program, not beside it as a separate obligation.
Every in-scope system has a documented human override path. Our maturity disclosure shows current tier standings and ninety-day targets, because a governance program worth sharing shows its work, including where it’s still improving.
That’s the difference between a consultant who sells governance and a partner who actually runs it.
See the Program Before You Commit
We implemented this before we offered it. Here’s what you get when you bring us in to govern your AI environment.
- Full evidence pack, ready to share
- Compliance crosswalk to your existing frameworks
- Named owner on every system
Fill out the form to schedule your review and get started.
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How It Works
The program follows four continuous functions drawn directly from NIST AI RMF 1.0. It’s designed to be auditable and shareable with your partners at any time. Ongoing governance includes quarterly executive reviews, continuous monitoring of high-tier systems, and intake reviews for new AI tools as they’re proposed.
Govern
Policy, roles, and accountability form the foundation. This includes an AI Governance Charter, an Acceptable Use Policy, staff training, a third-party AI addendum, and a quarterly executive review cadence.
Map
Every AI use case goes through a formal intake process. Each system is risk-tiered as Prohibited, High, Moderate, or Low and added to a living inventory that reflects what’s actually in production.
Measure
High-tier systems are evaluated before deployment and monitored continuously in production. We track drift, abuse, quality, and usage metrics on a defined schedule for every in-scope system.
Manage
AI incident triggers are integrated into your existing response plan. Every high-tier system has a documented human override, kill-switch, and decommissioning procedure in place before it goes live.
The Seven Standards We Apply to Every AI System.
Every AI system we oversee is held to the same seven standards, regardless of the tool, the vendor, or the use case.
- Accountable – Every system has one named owner and one executive sponsor on record.
- Inventoried – If a system isn’t on the inventory, it doesn’t go into production.
- Purpose-Bound – Every tool is approved for a defined use. Any deviation is treated as a formal change request.
- Human-Overseen – A human can pause, override, or decommission any AI output path at any time.
- Data-Minimized – Training data and prompt inputs are limited to the minimum data class the approved use case requires.
- Measured – Every high-risk system operates under at least one quantitative quality metric under active monitoring.
- Explainable – End users are informed when AI is involved in a process or output and have a clear path to appeal any outcome.
AI Use Aligned With Your Compliance Goals
Every control in our AI Controls Program is crosswalked to the compliance frameworks you’re already reporting on. You don’t run a second program, instead, you extend the one you have.
- CIS Controls v8 – Inventory (1, 2), Data Protection (3), Awareness and Training (14), Service Provider Management (15), Incident Response (17), Penetration Testing (18)
- SOC 2 (2017 TSC) – CC1 through CC5 for Governance and Risk, CC7 for Monitoring and Incident Response, CC9 for Vendor Management, PI1 for Processing Integrity
- HIPAA Security and Privacy – Administrative safeguards under 164.308(a)(1), (2), (5), (6), (7), (8), technical safeguards under 164.312, and BAA requirements under 164.314(a)
- NIST CSF 2.0 – Full GV function including GV.SC for supply chain, ID.AM, ID.RA, ID.IM, DE.CM, and the full RS and RC function families
Too Good To Be True? Here’s the Proof…
Our Evidence Pack provides redacted, shareable documentation, not vague talking points:
- System inventory with owner, purpose, data classification, risk tier, and last review date for every in-scope system
- Acceptable Use Policy attested annually by staff
- Intake and approval log showing how systems were evaluated and tiered before reaching production
- Risk register with inherent risk, mitigation controls, and residual risk scoring
- Vendor AI addendum covering third-party and embedded AI tools
- Human oversight procedures with pause, override, and decommissioning steps for every partner-facing output path
- Monitoring dashboards tracking drift, abuse, quality, and usage metrics
- Incident runbook extending your existing response plan with AI-specific triggers
- Red team and eval summaries from prompt-injection and data exfiltration testing
- Staff training attestations
- Decommissioning procedures
- Quarterly executive review minutes proving the program is operating as designed
FAQs
Is this a certification?
No. NIST AI RMF is a voluntary framework, not a certifiable standard. What we deliver is an auditable, operating program and the artifacts to prove it’s running as designed.
Does this cover third-party tools like Copilot?
Yes. Embedded and vendor-hosted AI is often the highest-risk category in any environment. It has its own dedicated addendum and a separate review path within the program.
What if we already have a governance program in place?
The crosswalk will show exactly where our AI controls plug into yours. You won’t be asked to run a second program or duplicate work your team is already doing.
Who owns and operates the program?
Our VP of Managed Services serves as executive sponsor. Our vCISO operates the program day to day. An internal AI Review Board approves all use cases before they go into production.
Is this an add-on service or included with managed services?
For existing partners, AI Governance is available as a structured add-on engagement. For new partners, it’s part of how we deliver service from day one. Either way, you get the full program, the evidence pack, and ongoing governance support, not a one-time document drop.
What does the service include?
Ongoing governance includes quarterly executive reviews, continuous monitoring of high-tier systems, and intake reviews for new AI tools as they’re proposed.
Let’s Get Started
If you’re an existing client wondering how this applies to your environment, or you’re evaluating us as a partner and want to see what a real, properly tested AI governance program looks like, here’s where to start:
Already a client?
We’ll schedule an AI Governance intake review with your account team. Contact us here to get the process started.
Evaluating us as a partner?
Schedule a review by filling out the form below. You’ll get our Evidence Pack (full documentation set, the compliance crosswalk, and a clear picture of how we govern AI in our own environment), and a meeting on the books to talk through the process in detail.
