Securonix Appoints Joshua Neil as Chief Data Scientist

Securonix has announced the appointment of Joshua Neil as Chief Data Scientist. In this role, Neil will be an integral member of Securonix Threat Labs and will lead research and development in data science and machine learning to power advanced analytics within Securonix’s cloud-native SIEM platform.

A Ph.D. statistician with over 20 years of data science experience, Neil most recently served as senior director of data science at Microsoft, where he helped design detection technology for 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 clients globally. Prior to Ernst & Young, Neil spent 15 years working as a Principal Investigator at 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 licensed and marketed by an EY.

“Josh’s deep expertise in data science and strong research background aligns perfectly with our core vision at Securonix: to use machine learning and behavioral analytics to enhance detection and response capabilities to combat against cyber threats and advanced insider threats,” said Nanda Santhana, SVP, Cybersecurity Solutions. and Threat Labs, Securonix. “His experience building data-driven solutions integrating telemetry from endpoint products will be a huge competitive advantage for us as we continue to improve our XDR capabilities and strengthen the underlying analytics engine that powers our native cloud platform.”

As Chief Data Scientist, Neil will lead Securonix’s data science team and be primarily responsible for driving the machine learning initiatives needed to power Content-as-a-Service and ultimately empower defenses of Securonix customers.

The Securonix Threat Labs team conducts primary research on threats and emerging trends to develop mitigation strategies for customers and share threat intelligence with the community. Neil and his team will work closely with threat hunters, detection engineers and researchers to ensure data science and machine learning initiatives replicate the functions of a security operations analyst.

“I strongly believe that the industry can elevate its approach to detection and response, improve 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-gen SIEM I have considered joining, due to the combination of its state-of-the-art, 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.

Sean N. Ayres