ADDISON, Texas – (COMMERCIAL THREAD) – Securonix, Inc., a next-generation SIEM leader, today 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.
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 detection technology as part of Microsoft Defender for Endpoint and Microsoft 365 Defender. 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, delivering industry-leading 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 licensed and marketed by 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 analysis to strengthen detection and response capabilities to to combat advanced cyber threats and insider threats, ”said Nanda Santhana, SVP, Cybersecurity Solutions. and Threat Labs, Securonix. “His experience in creating data-driven solutions integrating 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 empower the defenses of Securonix customers. The Securonix Threat Labs team conducts primary research on emerging threats and trends to develop mitigation strategies for clients and to 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 sophisticated behavioral modeling core of the technology. It’s truly unique in the industry, and I couldn’t be more excited to be a part of this innovative and visionary company.
Securonix is redefining SIEM for today’s data-driven hybrid cloud enterprise. Built on a big data architecture, Securonix delivers SIEM, UEBA, SOAR, Security Data Lake, NTA and vertical specific applications as a pure SaaS solution with unlimited scalability and no infrastructure cost. Securonix reduces noise and prioritizes high fidelity alerts using behavioral analysis technology that pioneered the UEBA category. To learn more, visit www.securonix.com or follow us on LinkedIn, Facebook and Twitter.