Deep Instinct Review

Deep Instinct is a deep learning–based threat prevention platform designed to stop malware, ransomware, and zero-day attacks before execution. Founded in 2015, the company pioneered the application of deep learning to cybersecurity, delivering a radically preventive approach compared to traditional antivirus and EDR solutions.
Its goal is clear: stop attacks before they start, significantly reducing the need for post-incident response and analysis.

DEEP INSTINCT – TUTORIAL

DEEP INSTINCT – FEATURES

• Predictive prevention powered by Deep Learning: Uses models trained on billions of files to autonomously recognize threat patterns, even without known signatures.
• Zero-day protection: Blocks previously unknown malicious files, including targeted attacks and next-generation ransomware.
• Low resource consumption: The agent works offline with minimal CPU and RAM usage.
• Multi-platform compatibility: Supports Windows, macOS, Linux, and virtualized environments.
• Centralized management console: Cloud-based interface for policies, reporting, and real-time monitoring.
• SIEM and SOAR integrations: Compatible with Splunk, IBM QRadar, Microsoft Sentinel, and more.
• Behavioral analysis and automatic isolation: Automatically isolates infected devices and provides detailed technical alerts.
• Minimal updates required: Static deep learning models eliminate the need for frequent signature updates.