Deep Instinct

Deep Instinct is a cybersecurity company founded in 2015 and headquartered in New York City. The company was built around a bold and unique premise — applying deep learning to cybersecurity to achieve true prevention rather than just detection. Deep Instinct’s approach leverages a proprietary deep neural network (DNN) trained to identify and stop threats before they can execute, setting it apart from traditional machine learning and signature-based security products. Its technology is designed to predict and prevent unknown malware, zero-day exploits, and ransomware in real time, even before they enter the network or endpoint environment.

At its core, Deep Instinct focuses on pre-execution prevention across endpoints, servers, and mobile devices. By embedding deep learning models directly into the security workflow, the company’s solutions can make autonomous decisions with minimal reliance on cloud lookups or human intervention. This allows for extremely low latency and high efficacy in stopping both known and unknown threats. Deep Instinct’s prevention-first model reduces alert fatigue, resource strain on SOC teams, and remediation costs by blocking attacks at the earliest stage of the kill chain.