This talk will highlight the latest in AppSec and dive into a different kind of solution called Runtime Application Self-Protection (RASP). We'll also explore a new methodology called language theoretic security (LANGSEC) and explain how it can outperform existing approaches like pattern matching, regular expressions, etc. This talk will lay the foundation via informal and formal theory how lexers, tokenizers and parsers work. We’ll move onto constructing an open source toolchain to analyzing data and exploring interactive data visualizations. Along the way, we’ll cover performance tradeoffs and discuss the challenges of modern application security.
Kunal Anand is the co-founder and CTO of Prevoty, a runtime application security platform. Prior to that, he was the Director of Technology at the BBC Worldwide, overseeing engineering and operations across the company’s global Digital Entertainment and Gaming initiatives. Kunal also has several years of experience leading security, data and engineering at Gravity, MySpace and NASA’s JetPropulsion Laboratory. His work has been featured in Wired Magazine and Fast Company. Kunal received a B.S. from Babson College.