Data Privacy & Security Checklist for AI Use

Description

Deploying AI tools without structured data review introduces avoidable privacy, security, and regulatory risk. The Data Privacy & Security Checklist provides a practical, audit-ready framework for evaluating data classification, regulatory exposure, vendor controls, and risk posture before AI deployment.

This checklist is designed to be completed prior to adopting new AI tools, expanding existing use cases, or integrating AI into high-impact workflows. It ensures that sensitive data, contractual obligations, and compliance requirements are reviewed before AI systems are scaled.

What This Checklist Covers

• Data classification review

• Sensitive and regulated data handling

• Security posture assessment

• Model transparency and data use considerations

• Data retention and deletion practices

• Access and permission controls

• Risk assessment documentation and approval

• Ongoing monitoring responsibilities

The structured format supports defensible governance decisions and internal documentation practices.

Who This Is For

• Organizations formalizing AI risk controls

• Security and compliance teams

• Procurement and IT leaders

• Regulated or contract-bound environments

For organizations seeking a complete governance baseline including policy, oversight, vendor evaluation, and phased implementation guidance, consider the Responsible AI Policy Suite.