Building on the foundation from part one, this episode explores public and private data categories, the importance of policy-driven classification, and how to implement classification effectively across diverse environments. Public data—intended for broad distribution—still requires oversight to prevent tampering, impersonation, or misuse in social engineering. Private data, especially when it includes PII or financial records, demands tight access control, audit logging, and often regulatory compliance. We explore how automated classification tools can scan files for keywords, patterns, or metadata, tagging documents in real time to enforce encryption, access, or transmission restrictions. We also examine the role of user education and governance policies in ensuring consistent classification practices across departments and systems. Effective classification isn’t just about what a document is—it’s about what it could become if accessed by the wrong person. A mature classification program enables smarter data handling, targeted defense, and clearer incident response prioritization.