Securonix announced the appointment of Joshua Neil as Chief Data Scientist. In this role, Neil will be a full member of Securonix Threat Labs and lead data science and machine learning research and development to power advanced analytics within the cloud-native Securonix SIEM platform.
A PhD statistician with over 20 years of experience in data science, Neil most recently served as Senior Director of Data Science at Microsoft, where he helped design sensing technology as part of the Microsoft Defender for Endpoint and Microsoft 365 Defender products. He has also produced solutions for the Microsoft Threat Experts Hunting team.
Prior to Microsoft, Neil worked at Ernst & Young, where he developed their security data science capabilities, providing anomaly detection to Fortune 500 customers worldwide. Prior to Ernst & Young, Neil spent 15 years working as a Principal Investigator at the Los Alamos National Laboratory, building a reputation as a high quality researcher with over 1,000 citations, 8 patents and an R&D 100 award for his development of PathScan , a network anomaly detection tool that has been authorized and marketed by an EY.
“Josh’s deep expertise in data science and strong research background aligns perfectly with our core Securonix vision: to use machine learning and behavioral analysis to strengthen detection and response capabilities to to combat advanced cyber threats and insider threats, ”said Nanda Santhana, SVP, Cyber Security Solutions. and Threat Labs, Securonix. “His experience in creating data-driven solutions incorporating telemetry from endpoint products will be a significant competitive advantage for us as we continue to improve our XDR capabilities and strengthen the underlying analytics engine that powers our cloud native platform. “
As Chief Data Scientist, Neil will lead the Securonix Data Science team and will be primarily responsible for driving the machine learning initiatives needed to fuel Content as a Service and ultimately strengthen the defenses of Securonix customers.
The Securonix Threat Labs team conducts primary research on emerging threats and trends in order to develop mitigation strategies for clients and share threat information with the community. Neil and his team will work closely with threat hunters, detection engineers and researchers to ensure that data science and machine learning initiatives mimic the functions of a security operations analyst.
“I firmly believe that the industry can elevate its approach to detection and response, improving security operations, incident response, threat hunting and forensic professionals through the careful application of machine learning and advanced statistical modeling, ”said Neil. “Securonix is the only next-generation SIEM that I have considered joining, due to the combination of its cutting-edge, open and scalable infrastructure with the technology’s sophisticated behavioral modeling core. It’s truly unique in the industry, and I couldn’t be more excited to be a part of this innovative and visionary company.