Deep Instinct

Deep Instinct is a pioneering cybersecurity company that leverages a deep learning framework specifically built for cybersecurity. The company announced DIANNA, the first generative AI-powered cybersecurity companion that analyzes and explains unknown threats. Deep Instinct’s Prevention Platform offers a predictive prevention approach to stopping ransomware, zero-day threats, and other unknown malware from infiltrating storage environments, applications, and endpoints. This platform is designed to prevent threats faster and with greater accuracy without slowing down business operations, achieving a false positive rate of less than 0.1%. Hundreds of brands rely on Deep Instinct to stay ahead of vulnerabilities, limit false positives, alleviate security team stress, and fuel innovation. Recognized in the 2022 Gartner Magic Quadrant for Endpoint Protection Platforms, Deep Instinct received a 4.7 out of 5-star rating on Gartner Peer Insights, with 96% of users recommending the platform. Unit 221B tested Deep Instinct’s Prevention Platform and found it prevented 99.78% of unknown and custom malware attacks with zero false positives. The platform reduces the risk of a breach by stopping threats 750 times faster than the fastest known ransomware can begin to encrypt. Deep Instinct’s Prevention Platform is validated by Coalfire Systems for use in a Payment Card Industry Data Security Standard (PCI DSS) environment and is certified as SOC 2 Type II in accordance with the AICPA framework. It also meets General Data Protection Regulation (GDPR) requirements for the protection of personal data. The platform integrates with EDR, SIEM, SOAR, and other tools via REST API, Syslog, or SMTP to improve investigation, remediation, and threat hunting. Deep Instinct’s Prevention Platform provides a multi-layered prevention approach and is designed to prevent known, unknown, and zero-day threats in less than 20 milliseconds.