Better Cybersecurity with AI and ML? Focus on Culture, Diversity and Inclusion
summary
Covers how organisations can safely adopt AI and machine learning in cybersecurity by addressing team culture, diversity and inclusion. Discusses risks that non-diverse cybersecurity teams can embed bias into ML models and potentially automate attack paths, and implies focusing on diverse perspectives to avoid those outcomes.
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chapters (8)
- 0:00Intro
- 1:45Diversity
- 4:00Statistics
- 5:50Why use AI
- 9:40Ethics of AI
- 15:55Cybersecurity
- 17:30Diversity in ML
- 18:40Bad Rabbit example
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