Description

Monitoring and correlation system

Overview 
An advanced SIEM/SOC solution that detects and analyzes cybersecurity threats in real time. Using AI-driven correlation algorithms, it integrates with network agents across servers, endpoints, and firewalls to identify attack patterns. The system provides automated alerts and detailed reports, enabling security teams to respond proactively.

Correlation monitoring system for information security events
SIEM / SOC system
The purpose of the system is to build correlations of information security events on the network, and real-time alerting to the relevant parties. The algorithms of a learning machine and artificial intelligence will be used.
The system will be based on a central management server that will receive the various alerts that will come from the various agents that will be installed on the various environments (servers, end stations, FW,)
The system will look for correlations from the various indications in accordance with the correlations that will be written by the user manually.
If a correlation is found in the system, then the server will send an alert via email to the relevant parties.
The server will also display graphs and reports for managers which will describe the state of the network, which events were detected in different periods, and on which stations or servers.
 







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לכל שאלה על הפרויקט, אהיה זמין בטלפון:
054-9717119
בברכה, 
רועי זימון 
Roiz@hit.ac.il

Monitoring and correlation system

Cyber - Full Stack

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task

THE PROJECT IS AT FULL CAPACITY