A demonstration of an autonomous approach for cyberattack mitigation

A demonstration of an autonomous approach for cyberattack mitigation

This demo presents a looping process that autonomously mitigates ongoing attacks by extracting security policies from intrusion detection system alerts and automatically reconfiguring distributed firewalls via a provably correct and optimized approach.

A demonstration of an autonomous approach for cyberattack mitigation

This demo presents a looping process that autonomously mitigates ongoing attacks by extracting security policies from intrusion detection system alerts and automatically reconfiguring distributed firewalls via a provably correct and optimized approach.

Comparative analysis of the environmental performance of delivery routes in the city center and peri-urban area

Automated Cyberattack Response System: A Combination of AI and Human Control with Recommendations for Measurable Actions

The findings suggest that combining open-source SIEM, workflow automation, and LLM-based reasoning with human supervision offers a practical, low-cost, and reliable approach for strengthening incident response capability in resource-constrained environments.

Autonomous Cyber Defense: Real-Time Attack Detection and Mitigation in Software-Defined Networks Using Machine Learning

A closed-loop framework that detects and blocks attacks in software-defined networks without operator involvement is presented, evaluating its performance against this stringent temporal constraint rather than relying exclusively on detection accuracy.

Integrated Threat Hunting and SOAR Workflow for Autonomous Cybersecurity Operations

The Integrated Threat Hunting and Security Orchestration, Automation and Response (SOAR) Automation Workflow (THSAW) is presented highlighting the necessity of shifting from a reactive "alert-driven" posture to a proactive "hunt-driven" methodology to ensure organizational resilience.