Babar-ians at the Gate - Data Protection at Massive Scale

Explore the critical challenges and solutions for securing Big Data environments in this Black Hat conference talk. Delve into the risks associated with rapid adoption of Big Data technologies like Hadoop, often implemented without adequate security considerations. Learn how to measure and manage data with precision while addressing emerging vulnerabilities and threats. Examine why "learning" machines sometimes make amusing or tragic mistakes, and discover strategies for infosec professionals to proactively engage with Big Data security. Gain insights from the book "Realities of Big Data Security" as the speaker guides you through the most challenging areas of big data protection and presents effective solutions for these elephantine challenges. Cover topics including threat modeling, control opportunities, authentication, availability, classification, authority, and least authority principles. Understand the importance of systematic treatment for resilience in Big Data security, drawing lessons from historical examples and contemporary cases like the Snowden revelations.

Intro
@daviottenheimer
"Predictive Analysis Tool" Rear View Mirror
Racecar Competitive Advantages • 1911 Rear-view mirror • 1911 Aerodynamics
Seatbelt Timeline to Adoption
Big Data Seatbelts?
Threat Modeling
Emperor's New Controls
Control Opportunities
Big Data Control Areas
A Simple "How To" Framework 1. Net and System Security 4. Access Control
Progress to consider
Example: Authentication
Realities of Securing Big Data
Phase Two - Availability
Phase Three - Classification
Phase Four - Authority
Phase Five - Least Authority
The Snow Den Lesson CHOLERA VORONI
Systematic Treatment = Resilience