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Big Data Security Analytics Securonix Raises $29 Million from Volition Capital

securonix raises funding

21 September 2017, India:

Securonix, the market leader in big data security analytics has raised $29 Million in Series A funding from Volition Capital. Roger Hurwitz of Volition Capital will be joining the Securonix Board of Directors. Eight Roads Ventures also participated in the round.

Securonix will fuel its accelerating growth and leadership in the user behavior analytics, next-gen security information and event management (SIEM), and log management market spaces. The company will use the funding to extend its investment in technology innovation, and expansion in domestic and global markets.

“I am very excited to have high-caliber investors like Volition Capital and Eight Roads that understand our business and share our passion for innovation, customer satisfaction, and global market leadership,” said Sachin Nayyar, CEO and Founder of Securonix. “We have a tremendous opportunity to establish Securonix as a platform of choice for security analytics, and this investment and the experience the partners bring will help us reach that next level of growth.”

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“Securonix has the foundation, vision, and management team to lead the security analytics market,” said Roger Hurwitz, Managing Partner of Volition Capital. “Securonix’s SNYPR Security Analytics platform is enabling organizations to quickly detect, triage, and mitigate the risks of advanced threats.”

“We are excited about the opportunity to invest in Securonix as the company continues its global growth,” said Raj Dugar, Managing Partner, Eight Roads Asia. “Organizations are looking for a solution that detects and responds to threats in real-time, and Securonix’s modern approach and patented machine learning technology positions it to be the market leader in this space.”

US-based Securonix was founded in 2007 by Sachin Nayyar. It has offices in Bengaluru, Pune. Securonix provides enterprise with a security analytics platform that uses Hadoop and machine learning technology to consume, enriche and analyze massive volumes of data in real-time to detect and prioritize the highest insider threat, cyber threat, cloud and fraud attacks automatically and accurately.

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