AI Playbooks for SLTT Cybersecurity Leaders
Published on March 19, 2026
Adopt Artificial Intelligence with Confidence
Explore Our AI Playbooks
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
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.