Deep Instinct, the first company to apply end-to-end deep learning, based on the only purpose-built deep learning framework for cybersecurity, announced today that it has successfully raised $100 million in Series D funding. The Deep Instinct platform can predict, prevent, and analyze cyberattacks at any touchpoint of the organization from the endpoint through to the network. This round was led by funds and accounts managed from BlackRock, with participation from Untitled Investments, The Tudor Group, an investment by Anne Wojcicki, and existing investors, including Millennium, Unbound, and Coatue Management, among others. This new capital doubles the investment to date, bringing the total funding to $200 million, and will fuel the company's aggressive growth plans for 2021 and beyond.

Deep Instinct is the first and only company applying end-to-end deep learning to cybersecurity. Deep learning is inspired by the brain's ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct's artificial deep neural network brain learns to prevent any type of cyber threat, its prediction capabilities become instinctive. As a result, any kind of malware, known and new, first-seen malware, zero-days, ransomware, and APT (advanced persistent threat) attacks from any kind are predicted and prevented in zero-time with unmatched accuracy and speed anywhere in the enterprise - network, endpoint, mobile - enabling multi-layered protection. To learn more, visit https://www.deepinstinct.com/.