---
title: "NIST AI RMF Playbook Training"
description: "Get trained and certified in NIST AI RMF 1.0 Playbook"
url: "https://www.certifiedinfosec.com/services/training-courses/ai/nist-ai-rmf-1-0-architect-training"
date: "2026-07-14T01:08:36+00:00"
language: "en-GB"
---

# ***NIST AI RMF Playbook for decision making best practices***

![image of nist ai rmf playbook](https://www.certifiedinfosec.com/images/stories/Certification_Badges_and_Certificates/AI_RMF_Architect_Thumbnail.png)

| cybersecurity training | ## [online *nist ai rmf playbook* training program](https://www.certifiedinfosec.com/services/certification-programs/ai/nist-ai-risk-management-framework) | **online cybersecurity exam course** |

|---|---|---|
| **CSF training online course** | ## **certification online course** | ## online information security training course |

| ### online ai risk training course | ### online cisa certification course | ### online certification course |

national institute of standards and technology critical infrastructure access control and supply chain cybersecurity risks news events risk framework federal government. Critical infrastructure uses the framework helps manage cybersecurity risks access control and supply chain.

NIST AI Risk Management Framework 1.0
Architect Training

Learn how to leverage
the NIST Artificial Intelligence Risk Management Framework 1.0
to develop and integrate AI risk management
into your organization's broader Enterprise Risk Management.

## Get trained and certified in NIST Artificial Intelligence Risk Management

The NIST AI Risk Management Framework is designed to equip organizations and individuals with approaches that increase the trustworthiness of AI systems, and to help foster the responsible design, development, deployment, and use of AI systems over time. The Framework training is intended to be practical, adapting to the AI landscape as AI technologies continue to develop. The AI RMF is intended to be utilized by organizations in varying degrees and capacities so society can benefit from AI, while also being protected from its potential risks.

NIST AI RMF 1.0 Architect is the AI risk management credential supporting a career in the responsible design, development, deployment, use, and evaluation of AI products, services, and systems. This certification validates competence and understanding for developing and managing AI risk-management based upon the NIST Artificial Intelligence Risk Management Framework 1.0. ![seperator](https://www.certifiedinfosec.com/images/seperator.png)

### What this course will provide:

- Thorough coverage of NIST AI RMF's four Core Functions, 19 Categories, 72 Subcategory desired outcomes (objectives), and its 431 (approximate) recommended implementation actions (tasks);
- Clear advice on how to integrate NIST AI RMF 1.0 into the organization's greater Enterprise Risk Management; and
- Preparation for your certification exam required for Certified NIST AI RMF 1.0 Architect credentialing.

### NIST AI RMF 1.0 Taxonomy

![AI RMF Training](https://www.certifiedinfosec.com/images/stories/AI_RMF_Architecture.png)

![seperator](https://www.certifiedinfosec.com/images/seperator.png)

### Upon completion of this training and certificate program, participants will:

- be equipped with knowledge and skills required to develop, manage, monitor, and improve an AI Risk Management System conforming to NIST standards of best practice;
- expand your risk management competency;
- increase your credibility through gaining international recognition; and
- improve your résumé and help to increase your earning potential.

[ View upcoming dates, locations, pricing, complete course details, and online registration](https://www.certifiedinfosec.com/event-calendar/events-ai)

 [![NIST AI Demo](https://www.certifiedinfosec.com/images/NIST_AI_Demo.png)](https://www.certifiedinfosec.com/webdemo/nist_ai_rmf_demo/presentation.html)

## It’s convenient!

Certified Information Security provides the training and credentialing you need to become recognized as an authority in governance, risk, and compliance. You choose the method of delivery: online through our secure website, or in-person at a publicly available course or privately at your facility. We take care of the rest – from administration, to record keeping, to providing certificates of completion and certification.

Online students have the additional convenience of taking courses whenever they want without the need to travel or disrupt their busy schedules. Our program allows users to start and stop without losing their place or data. Learning and certifying expertise has never been so easy! [Try this course now for free!](https://www.certifiedinfosec.com/webdemo/nist_ai_rmf_demo/presentation.html)

### **How to get started - *two alternatives***

1. [![AI LI Voucher](https://www.certifiedinfosec.com/images/stories/virtuemart/product/AI_RMF_Voucher.png)](https://www.certifiedinfosec.com/estore/certification-package-vouchers/certified-nist-ai-rmf-1-0-architect-purchase-credit-voucher-detail)If your employer is paying for your training and certification, we recommend purchasing a **complete NIST AI RMF 1.0 Lead Implementer certification package voucher that includes all required resources**, including membership in the CIS Body of Certified Professionals, all required training programs, all recommended practice exams, and the required certification exam. This allows your employer to purchase and pay all of your necessary resources at once, while still giving you flexibility of when to use your training, practice exams, and certification exams later.

[Learn more / Get costing](https://www.certifiedinfosec.com/estore/certification-package-vouchers/certified-nist-ai-rmf-1-0-architect-purchase-credit-voucher-detail)

![seperator](https://www.certifiedinfosec.com/images/seperator.png)

1. **"Pay-as-you-go"** by purchasing your membership in the CIS Body of Certified Professionals, training, recommended practice exams, and the certification exams *as you need them*. Start by purchasing training, and then purchase practice exams when you are ready. After you complete your practice exams, you then purchase your certification exam.

## A breakdown of the costs are as follows:

### 1. Required CIS Membership Application Fee & Membership Dues: $100.00 [Learn more](https://www.certifiedinfosec.com/estore/cis-membership/cis-body-of-certified-professionals-detail)

### 2. Required Training

| Online on-demand course | Cost |
|---|---|
| AI RMF 1.0 Architect Training | $799.95   [Learn more](https://www.certifiedinfosec.com/estore/artificial-intelligence/individual-purchase-for-yourself/online-on-demand-training/nist-ai-rmf-architect-training-detail) |

### 3. Optional Online Practice Exams for exam #RM102: $100.00 [Learn more](https://www.certifiedinfosec.com/estore/artificial-intelligence/individual-purchase-for-yourself/online-on-demand-practice-exams/rm102-practice-exams-30-days-detail)

### 4. Required Online Certification Exam #RM102: $125.00 [Learn more](https://www.certifiedinfosec.com/estore/artificial-intelligence/individual-purchase-for-yourself/online-on-demand-certification-exams/certification-exam-rm102-48-hours-detail)

This course provides advanced high-level training on how to leverage the NIST AI Risk Management Framework 1.0 to plan, design, and manage an AI risk management program conforming to NIST Artificial Intelligence Risk Management Framework 1.0. In the Framework itself, NIST advises as assignment of roles, responsibilities, and activities necessary for proper consideration and management of risk throughout the [NIST AI lifecycle stages](https://airc.nist.gov/AI_RMF_Knowledge_Base/AI_RMF/Foundational_Information/2-sec-audience):

![image of NIST AI Lifecycle](https://www.certifiedinfosec.com/images/stories/RMF-lifecycle.png)

- System operators
- End-Users
- AI domain experts
- AI designers
- Impact assessors
- TEVV experts
- Product managers
- Compliance experts
- Auditors
- Modelers
- Model engineers
- Governance experts
- Organizational management
- C-Suite executives
- AI evaluators
- Data scientists
- Data engineers
- Data providers
- Socio-cultural analysts
- Human factors experts
- Developers
- Systems integrators
- Systems engineers
- Software engineers
- Procurement experts
- Third-party suppliers
- System funders
- Product managers
- Policy makers
- Standards organizations
- Trade associations
- Researchers

NIST AI RMF expert Allen Keele presents **743 slides of video-narrated content** providing thorough coverage of NIST AI RMF 1.0.

### Learning objectives

1. Introduction to AI risk management and related frameworks (90+ slides)
    - Addresses how organizations can frame the risks related to AI and describes the intended audience. AI risks and trustworthiness are then analyzed, outlining the characteristics of trustworthy AI systems.
2. Core Function 1: Governing AI risk management (140+ slides)
3. Core Function 2: Mapping AI risks (140+ slides)
4. Core Function 3: Assessing and measuring AI risks (200+ slides)
5. Core Function 4: Managing AI risks (90+ slides)

### The learning approach

Within each of the four Core Functions, each Function’s category is broken down into individual lessons explaining particular desired outcomes and objectives (subcategories), followed by NIST's recommended implementation actions ad relevant documentation considerations.

![Learning approach](https://www.certifiedinfosec.com/images/stories/Learning_Path.png)

**Professional Certification:** This course fulfills prerequisite training requirements for the certification exam #RM102 required for:

[![Image of AI 1.0 Architect](https://www.certifiedinfosec.com/images/stories/Certification_Badges_and_Certificates/AI_RMF_Architect_Thumbnail.png)](https://www.certifiedinfosec.com/services/certification-programs/ai/nist-ai-risk-management-framework)

[ Learn more](https://www.certifiedinfosec.com/services/certification-programs/ai/nist-ai-risk-management-framework)

### Our simple guarantee to you.

Preparing for Certified Information Security's professional certification exam #RM102 is serious business. This is where we can help. If you first successfully complete:

- All prerequisite course training; and
- All RM102 online practice exams

Certified Information Security guarantees your success in passing CIS exam #RM102.

If you do not pass exam #RM102 on your first attempt after completion of your required course and practice exams, Certified Information Security will allow you to re-test at no additional charge until you successfully pass your certification exam.

### FAQ's: NIST AI Risk Management Framework 1.0

### 1. What is NIST AI RMF?

The NIST AI Risk Management Framework 1.0 is a voluntary framework released in January 2023 that provides guidance for managing AI risks throughout the AI lifecycle. It's designed to help organizations develop more trustworthy AI systems by addressing risks to individuals, organizations, and society.

### 2. Who should use the AI RMF?

The framework is intended for "AI actors" across all sectors and AI applications - from AI developers and deployers to procurement officials and end users. It's particularly valuable for organizations developing, deploying, or using AI systems in high-risk contexts.

**What is an AI Actor?**

According to the NIST AI Risk Management Framework (AI RMF), an **AI actor** is an individual or entity that actively participates in the AI system lifecycle, playing a role in the design, development, deployment, or use of AI systems. These actors include a wide range of stakeholders from various sectors, such as data scientists, software developers, system integrators, end-users, regulatory experts, and even impacted individuals and communities.

**Examples of AI Actors:**

- Technical Roles: Data scientists, data engineers, modelers, and systems integrators.
- Users and Operators: End users, system operators, and practitioners.
- Governance and Impacted Parties: Legal and privacy experts, human factors experts, socio-cultural experts, advocacy groups, and the general public.

**Why the AI RMF Focuses on Actors:**

- **Broad Perspective:** The framework recognizes that managing AI risks requires a **broad set of perspectives**, as AI systems are socio-technical in nature and impact individuals, organizations, and society.
- **Lifecycle Involvement:** AI actors are considered **at every stage of the AI lifecycle**, from initial data preparation and model building to deployment, operation, and the potential impact of the AI system.
- **Contextual Risk Management:** By including diverse AI actors, the framework encourages comprehensive risk mapping, considering potential negative impacts and ensuring responsible and trustworthy AI use.

### 3. Is the NIST AI RMF mandatory for regulatory compliance?

No, it's a voluntary framework. However, it may become referenced in future regulations, procurement requirements, or industry standards. Some organizations are already incorporating it into their governance frameworks.

Former President Biden's Presidential Executive Order 14110, *"Safe, Secure, and Trustworthy Development and Use of AI,"* drove the US Office of Management & Budget (OMB) to issue OMB Memorandum M-24-10. The memo established the binding requirements for federal agencies to manage the risks of artificial intelligence, and many agencies have aligned with the NIST AI RMF to meet those obligations.

In 2025, however, President Trump rescinded Executive Order 14110 and its corresponding OMB memoranda M-24-10 and M-24-18 within 48 hours of taking office in January 2025. Biden's EO 14110 was replaced by Trump's own own executive order 14179, "*Removing Barriers to American Leadership in Artificial Intelligence"*. This order set the stage for a broader policy agenda, leading to the "America's AI Action Plan" released in July 2025 along with three additional executive orders:

1. **Preventing Woke AI in the Federal Government:** This order mandates that AI models procured by federal agencies must prioritize "truth-seeking" and "ideological neutrality". It specifically targets perceived biases related to "diversity, equity, and inclusion" (DEI).
2. **Accelerating Federal Permitting of Data Center Infrastructure:** This order aims to speed up the construction of AI data centers by fast-tracking permitting, easing environmental reviews, and using federal lands for development.
3. **Promoting the Export of the American AI Technology Stack:** This order establishes a program to promote the export of "full-stack" American AI technologies, including hardware and software, to allied nations.

### 4. What types of AI risks does the framework address?

NIST AI RMF covers a broad spectrum of risk including bias and fairness issues, privacy violations, safety risks, security vulnerabilities, transparency and explainability concerns, and broader societal impacts.

Specifically, the NIST AI RMF guides organizations to map and identify risk **across the entire AI lifecycle.**

### 5. How does NIST AI RMF relate to the NIST Cybersecurity Framework?

The AI RMF follows a similar structure to the NIST CSF, but addresses AI-specific risks. Organizations often use both frameworks together, as AI systems introduce cybersecurity risks while cybersecurity is just one dimension of AI risk.

### 6. How does an organization get started using NIST AI RMF?

To get started, the organization needs to: 1. **Establish formal AI Management Function leadership, authority, and subject-matter expertise.** One of the most critical first steps is to establish clear accountability and governance by defining who is responsible for managing AI risks. Organizations can create a cross-functional committee with representatives from legal, IT, compliance, and relevant business units. A team of cross-functional leaders (e.g., directors, vice presidents, officers, and managers) with sufficient organizational authority must be designated and trained to establish a formal AI governance and risk management Function/Department/Office. Optimally,the organization should even consider appointing a Chief AI Officer to lead the effort.
    - <a>Contact us for an initial consultation to discuss team development</a>
2. **Leadership authorizes, initiates, and plans the organization's AI management system to support the organization's greater enterprise governance, risk, and compliance management.**
3. **The NIST AI Risk Management Framework is used to improve AI risk governance, assessment, and treatment practiced within the formal AI Management system.**

### 7. Can I get certified as a subject-matter expert in NIST AI RMF?

Yes! Certified Information Security is the only IRMCB-accredited and authorized training provider and certification exam proctor for the NIST AI RMF A1.0 Architect professional credential.

[Learn more](https://www.certifiedinfosec.com/../services/certification-programs/ai/nist-ai-risk-management-framework)

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