Is your data all mixed together like a jar of candy? Sandee Sampson, Sr. Solutions Engineer at Microsoft, explains where to start with data classification, how classification differs from labeling, how auto-labeling helps you scale, why AI raises the stakes for unclassified data, and what your first 30 days should look like.
Learn how to strengthen data protection on AI Skills Navigator: https://aka.ms/AA13vmj3
0:00 Intro
0:47 What does "before" look like for an org that’s never classified data?
2:39 What’s the difference between classification and labeling, and why does it matter?
4:53 How can we apply labeling and classification at scale?
7:04 How have AI assistants and agents changed the risk of unclassified data?
9:04 With 10 million unlabeled files, what should the first 30 days look like?
10:52 Key takeaway
Ask a Cybersecurity Pro tackles the big questions organizations are facing in cybersecurity today. Microsoft Sr. Solutions Engineer Sandee Sampson answers them in plain language, with practical next steps you can actually use.
Learn more about Cybersecurity Awareness Month: https://aka.ms/CybersecurityYT
Subscribe to Microsoft Learn on YouTube: https://aka.ms/LearnOnYouTube
Follow Microsoft Learn on social:
LinkedIn: https://www.linkedin.com/showcase/microsoftlearn/
Instagram: https://www.instagram.com/microsoftlearn/
TikTok: https://www.tiktok.com/@microsoftlearn
X: https://twitter.com/MicrosoftLearn
