Gal Itzhak

NL2XQL transforms natural language into powerful XQL queries, making cybersecurity investigations accessible to all security teams without requiring deep syntax knowledge.

Discover how Palo Alto Networks combines customer feedback, expert analysis, deterministic rules, stochastic models, and statistical methods to generate credible labels for training machine learning models in cybersecurity.

SmartScore is a unique machine learning-driven approach that translates security investigation approaches along with their associated data into a hybrid scoring mechanism. This new disruptive system uses both ML power and contextual security rules, which are driven and built by security researchers and data scientists together, to generate a reliable risk score that can be used for triaging and prioritization.