Skill Sprint: Become an AI Security Champion

Learn how to become the AI security champion your team needs by helping colleagues evaluate, request, and use AI tools responsibly. LinkedIn Learning Skill Sprints help learners gain the skills they need to succeed today. In this sprint, join Rob Lee to partner with security teams, classify data risk, evaluate AI tools, and create clear proposals that make it easier for security to say yes. This can help you move from informal or "shadow" AI use toward safer, more transparent adoption that supports innovation without creating unnecessary risk.

Learning objectives
Describe the role of an AI security champion on a team.
Explain why AI tool requests are often delayed, rejected, or ignored.
Partner effectively with security stakeholders.
Answer the key questions security teams need before approving an AI tool.
Create a simple data classification guide using green, yellow, and red risk levels.
Apply data classification to real AI usage scenarios.
Evaluate AI tools for security, privacy, and business fit.
Build a sandbox approach that allows teams to test safely before scaling.
Write a one-page AI tool proposal that supports faster approval.
Create a practical checklist for moving AI use from shadow adoption to transparent, secure practice.