Development of perfect algorithms and models for real-time control of confidential data movement in computer networks. Highly secure and efficient system using AI and Machine Learning technologies.
CyberSentinel - Network Confidential Data Movement Control System
Developed based on PHD dissertation on "Algorithms and Models for Monitoring Confidential Data Movement in Computer Networks".
To develop perfect algorithms and models for real-time monitoring of confidential data movement in computer networks.
Main features of CyberSentinel system
Monitor and analyze network traffic in real-time
Automatic detection of confidential data using AI
Deep analysis of network protocols
Efficient management of data flows
Protection with powerful security algorithms
Monitor and optimize system performance
From academic research to an enterprise DLP solution
Design Science Research Methodology (DSRM) — a rigorous 6-step approach combining academic rigor with industry practice.
Deep Packet Inspection (DPI) of HTTP/HTTPS, SMTP, FTP, IM and other protocols. TLS inspection, SNI parsing, encrypted-traffic fingerprinting
ML-based engine automatically identifies PII, PCI, PHI, intellectual property and internal documents. Hybrid RegEx + ML, OCR for images/PDFs, EDM/IDM fingerprinting
Detected data flows are evaluated against policies in real time, with automatic response: block, quarantine, alert, audit log. Risk scoring + adaptive thresholds
Algorithms and models for DLP-style monitoring of confidential data flow in enterprise networks
International publications on DLP, network security and data protection
Patents for DPI engine and ML-classifier algorithms
Download CyberSentinel system for various platforms
.exe and .msi files for Windows 10/11
Packages for Ubuntu, Debian, CentOS
APK and AAB files for Android 6.0+
IPA file for iOS 12.0+
DMG file for macOS 10.15+
Python source code and documentation
Contact us and ask questions
info@cybersentinel.uz
support@cybersentinel.uz
+998 94 127 96 31
Tashkent city
Uzbekistan