WANA (Aug 22) – Researchers at Sharif University of Technology in Iran, with support from the Connectivity and Communications Development Headquarters, have created an AI-driven system designed to enhance the security of communication networks.

 

According to Siawash Ahmadi, a faculty member at the university, this system, called SOAR (Security Orchestration, Automation, and Response), can intelligently detect cyber threats and quickly recommend actions to security specialists.

 

SOAR is an advanced security platform that focuses on three key areas: orchestration, automation, and response.

 

Its main features include integrating various security tools, managing data from multiple sources, responding quickly to security incidents, prioritizing threats, and providing recommendations to mitigate risks.

 

The system is intended for use by security and IT teams, service desks, incident management platforms, cloud services, and external applications.

 

Ahmadi pointed out that networks without SOAR face challenges like slow analysis and response times to security incidents. He emphasized that the project’s innovation lies in using AI to improve the speed and quality of operations, particularly in 5G networks.

 

Ahmadi is optimistic that the SOAR system, which leverages large language models (LLM), will soon establish itself in Iran’s security market, with organizations requiring robust security measures as its primary customers.