Deep Instinct takes a prevention-first approach to stopping ransomware and other unknown malware with a deep learning cybersecurity foundation. The company's platform is designed to safeguard data by predicting and preventing unknown threats before they can reach an organization's storage systems, applications and endpoints.
Deep Instinct's predictive prevention technology uses a custom-built deep learning framework that prevents malware from being written to disk. The company's platform is designed to help reduce SOC burnout and enable innovation by stopping malicious code before it can cause problems. It also offers expert-grade malware analysis through its AI cyber companion, DIANNA, which explains and analyzes all threats across the entire threat perimeter.
Deep Instinct's features include:
Deep Instinct's solution has been recognized by industry analysts, including Gartner, with a 96% recommendation rate from users. It has also been shown to be highly effective in stopping unknown and custom malware attacks, with zero false positives.
The platform is designed for organizations of all sizes looking to improve their cybersecurity posture with a prevention-first approach. It can be used to extend and enhance existing EDR/XDR tools, such as Microsoft Defender and Tanium, and integrates with a variety of systems including Windows, macOS, Android and Linux.
Deep Instinct is designed to achieve >99% threat accuracy and low false positive rates (<0.1%) to minimize disruption to business operations. The company offers a range of products and services, including a Prevention Platform, Prevention for Storage, Prevention for Applications, Prevention for Endpoints, and Data Security powered by Deep Instinct.
Published on July 12, 2024
Analyzing Deep Instinct...