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AI Policy Starter Kit
5 ready-to-use policy templates for engineering organizations adopting AI tools. Written by practitioners who have rolled out AI at scale -- not by consultants who read about it.
What's in the kit
AI Acceptable Use Policy
Define what engineers can and cannot do with AI coding assistants, chat tools, and agents. Covers approved tools, data handling rules, code review standards, and incident reporting.
Data Classification for AI Tools
A four-tier framework (Public / Internal / Confidential / Restricted) for deciding what data can be shared with which AI tools. Includes a pre-prompt checklist for engineers.
AI Incident Response Addendum
Extends your existing IRP with AI-specific scenarios: data leakage to AI tools, AI-generated vulnerabilities, prompt injection attacks, vendor compromise, and unauthorized tool usage.
Model Evaluation & Approval Process
A structured process for evaluating new AI tools before they enter production use. Covers security review, structured pilot, cost analysis, and annual re-evaluation.
AI Vendor Risk Assessment Template
A fill-in-the-blank checklist for evaluating AI vendors on data processing, security posture, privacy compliance, business viability, and AI-specific risks.
Why these templates work
- --Written by an AI architect embedded in a 200+ dev org, not a legal team working from theory
- --Focused on engineering teams using coding assistants and AI agents -- not generic AI ethics documents
- --Practical and actionable -- fill in the brackets, get legal review, ship
- --Covers the five areas that come up in every enterprise AI rollout
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