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AI adoption is moving faster than most security teams can track, with employees using personal AI accounts, AI-powered extensions, and agents that connect to internal systems largely outside existing security stacks. This playbook breaks down why legacy DLP, endpoint protection, and network monitoring fall short against the AI threat surface. It gives security teams a practical framework for identifying where AI enters the enterprise, assessing current gaps, and building the controls needed to scale AI safely. Readers walk away with a clear path from reactive to optimized AI governance.

Key Takeaways:
• Map of the 8 entry points where AI enters the enterprise, plus the questions to ask about each
• "Say Yes to AI" checklist outlining exactly what controls need to be in place before greenlighting AI at scale
• AI maturity assessment to benchmark where your organization stands and what to prioritize next
• Breakdown of what real enterprise AI controls look like across visibility, data protection, access control, and agent governance