DLP: An Implementation Story
summary
Micah Brown describes practical experiences implementing Data Loss Prevention (DLP), outlining specific successes and challenges encountered during deployments. The talk focuses on real-world lessons to help attendees who are beginning to plan or roll out DLP programs, without promising vendor-specific technologies or solutions.
AI-written summary · about
chapters (17)
- 0:00Introduction to DLP
- 0:39Defining data loss prevention
- 2:38Key components of DLP tools
- 6:32Management console importance
- 7:37DLP client implementation
- 11:45Handling DLP incidents
- 12:58Multi-stack vendor strategy
- 15:28Getting started with DLP
- 17:58Policy deployment strategies
- 20:49Tuning and real-world examples
- 27:10Validity versus accuracy
- 28:58Advanced architecture techniques
- 30:21Customizing DLP policies
- 34:26Data tagging and user involvement
- 37:12Honeypot files and conclusions
- 38:52Final takeaways and roadmap
- 44:34Q&A session
related talks
48mData Loss Prevention and Azure Information Protection...
51mUse Generative AI to End Your Love/Hate Relationship with DLP
50mNotes from the field Microsoft Information Protection
01h 15mDATA PROTECTION ENGINEERING: WHAT IS THE ROAD AHEAD?
32mHow Harness Helped Docaposte Secure Code and the Supply Chain
44mData Splicing Attacks: Breaking Enterprise...
45mExfiltration: Level hard
54mThe Kitchen's Finally Burned Down: DLP Security Bakeoff
