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Starts 9 June 2025 21:14
Ends 9 June 2025
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Conference Talk
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Overview
Explore AI-powered detection systems leveraging massive endpoint data for enhanced cybersecurity, presented by expert Filip Chytry at BSides Tampa 2019.
Syllabus
- Introduction to AI in Cybersecurity
- Understanding 400M Endpoints
- Data Infrastructure for Endpoint Data
- Machine Learning for Threat Detection
- Building a Strong AI Detection System
- Case Study: AI Detection System Design
- Evaluating AI Detection Systems
- Future Directions in AI-Powered Cybersecurity
- Conclusion and Q&A
Overview of AI-powered detection systems
Importance of endpoint data in cybersecurity
Types of endpoints and data collection
Challenges in managing large-scale endpoint data
Data storage solutions
Data processing and management techniques
Supervised and unsupervised learning methods
Feature engineering from endpoint data
Integrating AI algorithms with endpoint data
Real-time analysis and threat detection
Architecture of a robust detection system
Challenges faced in real-world implementation
Metrics for system performance assessment
Continuous monitoring and improvement techniques
Emerging trends and technologies
Ethical and privacy considerations
Summary of key takeaways
Open discussion on implementation challenges and solutions
Subjects
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