AI is reshaping how every organization uses data, but it also exposes cracks in your security foundation. Many teams still lack clarity on fundamental questions: What data do you have? Where does it live? Who (or what) can access it? Is it protected? As data sprawls across SaaS, DBaaS, IaaS, and on-prem, these blind spots do more than create risk. They stall your ability to safely adopt AI. The data security playbook brings clarity, action, and a modern blueprint for building an AI-future-proof data security program. We’ll walk through the full data and AI security journey, from discovering, classifying, and protecting your data with precision to monitoring for risks, responding to incidents, and removing data that no longer serves your business. Here’s what you’ll take away: - How agentless discovery and AI-native intelligence turn data chaos into control - Why classification and interpretation is the backbone of every risk decision - Why remediation must move from one-off fixes to scalable, automated workflows