Building Intelligent Automatons with Semantic Reasoning and Horse Glue

Explore the underappreciated realm of data modeling in security analysis through this conference talk from BSidesSF 2018. Delve into Anton Goncharov's presentation on building intelligent automatons using semantic reasoning and graph-based ontologies. Discover how these advanced techniques can consolidate information across technical verticals, model expert knowledge, and serve as a unified knowledge source. Learn about the limitations of traditional log analysis and string pattern matching, and how semantic reasoning can revolutionize low-level data analysis by drawing logical conclusions automatically. Gain insights into the application of Bayes belief networks for tracing cause and effect in events reported by common monitoring and detection tools, establishing chains of events. Uncover the potential of these innovative approaches to enhance security data analysis and reduce inefficient workflows.