AI Playbooks for SLTT Cybersecurity Leaders

Published on March 19, 2026

Developed in collaboration with members of the Multi-State Information Sharing and Analysis Center® (MS-ISAC®), the Artificial Intelligence (AI) Playbooks provide a unified, member‑developed approach that empowers U.S. State, Local, Tribal, and Territorial (SLTT) government teams to innovate responsibly while protecting the communities they serve. 

Adopt Artificial Intelligence with Confidence

The AI Playbooks were created to support U.S. SLTT teams at every stage of their AI journey, empowering them to translate complex concepts into actionable steps they can implement today. Each AI Playbook focuses on a core element of responsible AI adoption to emphasize cybersecurity, governance, and public trust as central priorities throughout this process.

Explore Our AI Playbooks

Every playbook includes supporting materials, including templates, worksheets, sample policies, and implementation tools, that U.S. SLTT organizations can immediately adapt to their unique environments. Whether you're evaluating your first AI pilot or expanding a mature AI program, these resources are designed to meet you where you are.

AI Readiness Playbook

The AI Readiness Playbook is designed to guide organizations through a structured, evidence-driven approach to achieving AI readiness. 

Download the AI Readiness Playbook and Supporting Material

AI Governance Playbook

The AI Governance Playbook consists of two complementary playbooks: our AI Governance Board Playbook and our AI Governance Policy Playbook.

  • The AI Governance Board Playbook is designed to help organizations establish an AI Governance Board to align AI initiatives with organizational values, laws, and risk frameworks; to deliver oversight, accountability, and strategic direction; and to ensure safe, equitable, and compliant outcomes.
  • The AI Governance Policy Playbook provides a customizable governance framework interoperable with procurement, risk review, lifecycle, and records programs. 

Download the AI Governance Playbooks and Supporting Material

AI Risk Review Playbook

Provide a structured, actionable approach to identify, assess, mitigate, and monitor risks associated with Artificial Intelligence (AI) initiatives — including Generative AI, machine learning, and related technologies.

Download the AI Risk Review Playbook

AI Vendor & Procurement Playbook

The AI Vendor & Procurement Playbook will provide a practical framework to evaluate and contract for AI‑enabled products and services with confidence, covering transparency, security, compliance, accessibility, and ethics. 

Download the AI Vendor & Procurement Playbook

AI Product Development Playbook

The AI Product Development Playbook consists of two complementary playbooks: our AI Model Governance Board Playbook and our AI Product Lifecycle & Cloud RAG Development Framework Playbook.

  • The AI Model Governance Playbook defines enterprise-wide model governance for both open-source large language models (LLMs) (weights available under open or restricted licenses) and foundational commercial/general-purpose AI models.
  • The AI Product Lifecycle & Cloud RAG Development Framework Playbook provides a unified governance and engineering framework to manage AI systems from ideation through decommissioning as well as to deploy Retrieval-Augmented Generation (RAG) and custom Large Language Models (LLMs) across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

Download the AI Product Development Playbooks and Supporting Material

Turn AI Guidance Into Real-World Results

Together, the above AI Playbooks give U.S. SLTT government organizations a trusted foundation for navigating emerging technologies with clarity and consistency. By combining member expertise, practical tools, and proven frameworks, the AI Playbooks help organizations make informed decisions, build sustainable programs, and uphold public trust. No matter where you are in your AI journey, you have a roadmap you can rely on.

 

As of June 23, 2025, the MS-ISAC has introduced a fee-based membership. Any potential reference to no-cost MS-ISAC services no longer applies.