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Deep Instinct Raises $100 Million in Series D Funding Round

Deep Instinct, a New York-based company that provides threat protection products powered by deep learning, on Thursday announced that it has raised $100 million in a Series D funding round.

Deep Instinct, a New York-based company that provides threat protection products powered by deep learning, on Thursday announced that it has raised $100 million in a Series D funding round.

The latest funding round, which brings the total raised by Deep Instinct to $200 million, was led by BlackRock, with participation from Untitled Investments, The Tudor Group, Anne Wojcicki, Millennium, Unbound, Coatue Management, and others. The money will be used to fuel the company’s growth.

Deep Instinct provides endpoint and mobile security products that leverage deep learning to quickly identify threats. The company’s platform includes prevention, detection, response, remediation, and analysis capabilities.

Deep Instinct says it has customers in North America, Europe and the APAC region, and claims its enterprise customers tripled in the past year.

“As we enter a new phase of hyper-growth, this investment round will significantly expand our go-to-market capabilities while at the same time increase our best-in-class deep learning research and product development groups,” said Guy Caspi, CEO of Deep Instinct. “These groups will focus on further developing the company’s unique deep learning platform beyond endpoint into cloud, network, and storage to meet the accelerating needs of our customers in the face of more sophisticated threats and breaches.”

Related: Are Artificial Intelligence and Machine Learning Just a Temporary Advantage to Defenders?

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Related: Artificial Intelligence Threat Detection Firm Vectra Raises $100 Million

Related: AI Cybersecurity Company CalypsoAI Raises $13 Million

Written By

Eduard Kovacs (@EduardKovacs) is senior managing editor at SecurityWeek. He worked as a high school IT teacher before starting a career in journalism in 2011. Eduard holds a bachelor’s degree in industrial informatics and a master’s degree in computer techniques applied in electrical engineering.

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