Network Behavior Anomaly Detection (NBAD) and User and Entity Behavior Analytics (UEBA) are heralded as machine learning fueled messiahs for finding advanced attacks. The data collection and processing methodologies of these approaches create a series of new exploitable vectors that can allow attackers to navigate network and systems undetected. In this session, methods for poisoning data, transforming calculations and preventing alerts will be examined. Proof of concept Python code will be demonstrated and made available. Approaches to harden against these attacks will also be discussed as well as outlining needed changes in detection standards. About Charles: WitFoo Chief Technology Officer - Charles’ dedication to maturing the craft of InfoSec is built on a diverse career path across the industry. He started his career in InfoSec in the US Navy in 2002 serving as the Network Security Officer at the US Naval Postgraduate School. After leaving active duty, he was a contributing product reviewer for InfoWorld magazine focusing on network security products. Charles spent 7 years running Herring Consulting, a company dedicated to process orchestration, data sharing, and marketing. In 2012, Charles joined the Lancope team as a pre-sales engineer, promoted to Consulting Security Architect and later as Strategic Account Manager following the acquisition of Lancope by Cisco. In 2014, Charles partnered with veterans of the military, law enforcement and cybersecurity to research new approaches to improve the craft of cybersecurity operations. In 2016, that research resulted in the forming of WitFoo. When not working with cybersecurity heroes, Charles enjoys SCUBA divining with his wife, Mai.