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AI Risk Decision Tool

Evaluate Any AI Tool
in 60 Seconds.

The T.E.S.T. Frameworkβ„’ is the scoring engine leaders trust to classify AI risk before deployment. Four questions. One score. A clear decision.

T

Touch

Does it access sensitive data?

E

Execute

Can it take actions or decide?

S

Store

Is data stored or sent externally?

T

Trust

Can it be audited & defended?

Low Moderate High Risk

60-Second Assessment

Run the T.E.S.T. Now

Answer one question per pillar. Get an instant risk classification.

Scoring System

AI Risk Score β†’ Decision

Each pillar scores 1–5. Total score determines the classification.

🟒

4 – 8 β†’ Low Risk

Proceed. Approve with standard monitoring.

🟑

9 – 14 β†’ Moderate Risk

Proceed with controls. Add oversight before deployment.

πŸ”΄

15 – 20 β†’ High Risk

Do not deploy. Resolve all gaps before re-evaluation.

Formula

T + E + S + T = Risk Score (4–20)

Standards Alignment

T.E.S.T. is aligned to the NIST AI Risk Management Framework

The NIST AI RMF is the federal standard for responsible AI. T.E.S.T. operationalizes each of its four core functions into a practical, scoreable evaluation your team can run in 60 seconds, without a compliance team or a law degree.

NIST: GOVERN→
T
Trust

NIST definition: Establish AI risk governance: policies, roles, accountability structures, and organizational culture.

How T.E.S.T. delivers this

Can this AI be audited, defended, and documented? T.E.S.T.'s Trust pillar maps directly to governance accountability, ensuring that every AI tool has a defensible chain of oversight.

NIST: MAP→
T
Touch

NIST definition: Identify and categorize AI context, intended use, stakeholders, and potential impacts.

How T.E.S.T. delivers this

Does this AI interact with sensitive or regulated data? The Touch pillar maps AI access scope to real stakeholder risk, identifying who and what is affected before deployment.

NIST: MEASURE→
TΒ·EΒ·SΒ·T
Execute + Store

NIST definition: Analyze and assess AI risks using quantitative and qualitative methods.

How T.E.S.T. delivers this

Can it act autonomously? Where does data go? Execute and Store quantify the two highest-risk dimensions of AI deployment, action scope and data exposure, with a 1–5 scoring scale.

NIST: MANAGE→
TΒ·EΒ·SΒ·T
All 4 Pillars

NIST definition: Prioritize and address AI risks; implement response plans and monitor ongoing performance.

How T.E.S.T. delivers this

The total T.E.S.T. score drives the decision: Proceed, Proceed with Controls, or Do Not Deploy. This is the management layer, turning measurement into action.

Why this matters

When your board asks β€œAre we compliant with federal AI standards?”
T.E.S.T. gives you the answer.

NIST AI RMF alignment means your AI risk process isn't just practical, it's defensible in front of regulators, auditors, and leadership.

T.E.S.T. Checklist

The Full AI Governance Checklist

20 evaluation criteria across all four pillars. Use this to assess your organization's AI governance posture β€” right now.

Scoring Guide

0–8 checked = πŸ”΄ High Risk9–14 = 🟑 Moderate15–20 = 🟒 Strong Posture
T

Touch

5 criteria

βœ“

All AI tools in use across the organization are inventoried

βœ“

Shadow AI usage has been identified and documented

βœ“

Employees know which AI tools are approved vs. unapproved

βœ“

AI touchpoints with customers/clients are mapped

βœ“

Departments have disclosed all AI tools used in workflows

E

Execute

5 criteria

βœ“

AI use cases are documented with a clear business purpose

βœ“

Processes exist for how AI outputs are reviewed before action

βœ“

AI-driven decisions have human oversight checkpoints

βœ“

Execution workflows include bias and accuracy checks

βœ“

Roles and responsibilities for AI execution are defined

S

Store

5 criteria

βœ“

Data inputs to AI systems are classified by sensitivity

βœ“

AI data storage complies with regulatory requirements (HIPAA, FERPA, etc.)

βœ“

Access controls are in place for AI training and output data

βœ“

Data retention and deletion policies cover AI-generated content

βœ“

Third-party AI vendors' data handling practices are assessed

T

Trust

5 criteria

βœ“

An AI governance policy is published and communicated

βœ“

AI risk is included in the enterprise risk register

βœ“

Leadership has completed AI literacy and governance training

βœ“

Third-party AI tools are vetted for compliance and ethics

βœ“

A designated AI governance owner or committee exists

πŸ“‹

Download the Full T.E.S.T. Checklist PDF

Get the printable PDF version with scoring template and decision guidance β€” ready for your next board meeting or AI governance review.

Why This Matters

AI is already inside your organization.

Most leaders just don't know where.

You don't have an AI problem.

You have a visibility problem.

🚨 Reality Check

Most organizations today:

⚠️

Are using AI they don't track

⚠️

Are sharing data they don't understand

⚠️

Are trusting outputs they don't validate

That's not innovation.

That's exposure.

Built For

Who This Is For

T.E.S.T. was designed for leaders who need to make defensible AI decisions, fast.

πŸ›‘οΈ

CIOs & CISOs

Evaluate AI risk at the enterprise level and communicate findings to the board with confidence.

🏫

School District Leaders

Navigate EdTech AI safely with FERPA-compliant evaluation processes for student data protection.

βš–οΈ

Procurement & Legal Teams

Score AI vendors before contract execution. Make defensible decisions with documented rationale.

🏒

Executive Leadership

Get board-ready AI risk visibility. Understand exposure before it becomes a headline.

Your Differentiator

Most organizations have AI policies.

Very few can enforce them in real time.

Policy

Written

T.E.S.T.

Execution

Enforced

The T.E.S.T. Frameworkβ„’ bridges the gap between policy and execution. Every AI tool scored. Every decision documented. Every risk visible.

β€œPolicy without enforcement is theater. T.E.S.T. is the enforcement layer.”

β€” Teri Green

Created by

Teri Green

VP of Technology β€’ Former CIO/CISO β€’ Author β€’ Speaker

With 17+ years leading cybersecurity strategy across enterprise, K-12, and public-sector organizations, Teri Green created the T.E.S.T. Frameworkβ„’ to give leaders a practical, defensible way to evaluate AI before deployment.

Her work sits at the intersection of cybersecurity, ethical AI, and inclusive leadership β€” combining technical depth with a mission-driven perspective that resonates with boards, executives, educators, and emerging leaders alike.

Recognition

2026

Top 10 Thought Leader & Influencer: AI Ethics β€” Thinkers360

Global Recognition Award β€” Cybersecurity, Innovation & Diversity

CISOs Connectβ„’ C100 2026

Finalist: Top Global CISO in the World 2026 β€” CyberDefense Awards

2025

Cybersecurity Leader of the Year β€” WomenTech Network

SIA Power 100 β€” Women in Security Forum

Literary Titan Award β€” Code Quest: The Ethics Engine

Get the Framework

Download the T.E.S.T. Checklist

Get the full PDF checklist, scoring template, and AI governance updates delivered to your inbox.

πŸ“‹

Full T.E.S.T. Checklist PDF

All four pillars with 20 evaluation criteria

πŸ“Š

Scoring Template

Ready-to-use risk classification worksheet

πŸ“¬

AI Governance Updates

Stay ahead of emerging AI risk and policy changes

Enter your info to get AI governance updates:

Next Steps

Ready to take action?

Whether you need a guided review or a full organizational rollout β€” there's a path built for you.

πŸ“…

Book a T.E.S.T. Review Session

One-on-one guidance to evaluate your AI tools, build your risk register, and prepare board-ready reporting.

Book a Session
🏒

Bring T.E.S.T. to Your Organization

Full deployment of the T.E.S.T. Framework across your organization with custom dashboards, training, and support.

Contact Us

AI is artificial.

You are the intelligence.

β€” Teri Green