Ashrith talks about whether it's time for the cyber security industry to start using AI to solve their challenges
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Ashrith talks about whether it's time for the cyber security industry to start using AI to solve their challenges
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
1.
Ashrith Barthur, PhD
Security Scientist
Is it Time for Security to Use Artificial
Intelligence ?
2.
Overview
● Analysis vs. Analytics
● Complexity in Cybersecurity
● Biggest Problem of Cybersecurity
● Examples
● Analytics with ML
● Advanced Analytics
3.
Analysis vs. Analytics vs. AI
● Analysis - Study and understand collected data
● Analytics - Data analysis with predictability.
● AI - Analytics with Intelligence
4.
Complexity in Cybersecurity
● Complex Protocols
● Massive Amounts of Data
● Attack Asymmetry
● Distributed Attack Surface
5.
Biggest Problem of CyberSecurity?
Exposure of PII - Personal, Identifiable
Information
Affects:
● Banks and Financial Institutions
● Corporations
● Governments
6.
Examples
● Office of Personnel Management
● Sony
● Home Depot
● Target
7.
Analytics with ML
● Random Forest
● Gradient Boosting Machines
● Deep Learning
● Neural Networks
8.
Advanced Analytics? Why?
● Multiple Sources of Data
● Dynamic contexts for Analysis
● Extremely low latency in prediction.
9.
AI? Why?
● Multiple Vectors of Attacks
● Many 0-day vectors
● Wait time with analysis is a lot
10.
What is H2O Doing?
● Leveraging H2O for data analysis and
analytics
● Building Dynamic Contexts to Analyse data
● Providing Intelligence in sourcing, combining
data.