Deep Instinct is the first company to apply deep learning to cybersecurity, offering a natively architected, prevention-first threat prevention platform. The company says its platform stops >99% of threats before other solutions see them, reducing detection noise and false alert storms. Deep Instinct positions its product to improve SOC team productivity and lower total cost of ownership for customers. The firm intends to use investor support to accelerate growth and drive adoption of a prevention-first model across enterprises. It currently protects customers across North America, Europe, and APAC; enterprise customers tripled in 2022 and it has strategic wins with numerous Global 2000 companies. The article does not disclose revenue or other financial metrics. Deep Instinct offers a prevention-first cybersecurity platform that applies deep learning to stop ransomware and other malware across hybrid environments. Its Deep Instinct Prevention Platform is designed to add multilayered protection to existing security stacks. The company says it will use the new funding to further penetrate the market. Deep Instinct raised $62.5M in the reported financing. As part of the announcement, Lane Bess—who has more than 35 years of experience in cybersecurity and was formerly CEO of Palo Alto Networks and COO of Zscaler—took over as CEO effective immediately. Co-founder Guy Caspi moved from CEO to Board Chair and became Chief Product Officer. Deep Instinct offers an end-to-end deep learning framework and platform designed to predict, prevent, and analyze cyberattacks across endpoints and networks. Its platform is positioned to protect organizations at multiple touchpoints and has expanded enterprise adoption rapidly. The company reports protecting customers across North America, Europe, and APAC, with enterprise customers tripling in the prior year and strategic Global 2000 wins in Q1 2021. Led by CEO Guy Caspi and Chairman Lane Bess, Deep Instinct intends to use the new funds to accelerate its growth plans for 2021 and beyond. The company has raised a total of $200M to date following this round. Deep Instinct applies deep neural network algorithms to cybersecurity, using end-to-end deep learning to identify and stop known and unknown malware, including zero-days and advanced persistent threats. Its system ingests raw data from servers, mobile devices and endpoints and is largely autonomous, with automated processes handled by its "deep learning brain." The company sells primarily to enterprise customers, both directly and via partners such as HP, which bundle or resell its solutions. Deep Instinct emphasizes cross-OS protection and claims higher detection and lower false positives than traditional machine-learning approaches that rely on human feature extraction. Management says the product can prevent first-seen, unknown attacks and is already used to counter rising spyware, ransomware and file-less attacks. The longer-term plan is to build a consumer-facing version of the product. The company is profitable, and highlights strategic relationships with large tech partners. Deep Instinct is a Palo Alto, Calif.-based company that applies deep learning to cybersecurity. Led by CEO and co-founder Guy Caspi, the company offers a deep learning platform that detects malicious behavior across multiple vectors and provides adaptive defenses for endpoints, servers, and mobile devices. The company raised $32M in a Series B financing led by CNTP, with participation from strategic investors including Nvidia, Coatue Management, and existing investors. It plans to use the funds to accelerate deployments in the U.S. and global markets. Mohsen Moazami, founding MD of CNTP and a former Cisco executive, was added to Deep Instinct’s board of directors in connection with the round.

Total raised

$238M

Funding rounds

5

Latest round

Equity

Latest activity

Sep 2022