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Cybersecurity with AI - Ashrith Barthur

Cybersecurity with AI - Ashrith Barthur

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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

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

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Cybersecurity with AI - Ashrith Barthur

  1. 1. Ashrith Barthur, PhD Security Scientist Is it Time for Security to Use Artificial Intelligence ?
  2. 2. Overview ● Analysis vs. Analytics ● Complexity in Cybersecurity ● Biggest Problem of Cybersecurity ● Examples ● Analytics with ML ● Advanced Analytics
  3. 3. Analysis vs. Analytics vs. AI ● Analysis - Study and understand collected data ● Analytics - Data analysis with predictability. ● AI - Analytics with Intelligence
  4. 4. Complexity in Cybersecurity ● Complex Protocols ● Massive Amounts of Data ● Attack Asymmetry ● Distributed Attack Surface
  5. 5. Biggest Problem of CyberSecurity? Exposure of PII - Personal, Identifiable Information Affects: ● Banks and Financial Institutions ● Corporations ● Governments
  6. 6. Examples ● Office of Personnel Management ● Sony ● Home Depot ● Target
  7. 7. Analytics with ML ● Random Forest ● Gradient Boosting Machines ● Deep Learning ● Neural Networks
  8. 8. Advanced Analytics? Why? ● Multiple Sources of Data ● Dynamic contexts for Analysis ● Extremely low latency in prediction.
  9. 9. AI? Why? ● Multiple Vectors of Attacks ● Many 0-day vectors ● Wait time with analysis is a lot
  10. 10. What is H2O Doing? ● Leveraging H2O for data analysis and analytics ● Building Dynamic Contexts to Analyse data ● Providing Intelligence in sourcing, combining data.
  11. 11. Thank You Questions?

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