EdgeGuard
Graph-Augmented xAI for Threat Intelligence on Edge Infrastructure
Описание
EdgeGuard addresses the critical need for transparent, auditable threat intelligence for organizations with limited cybersecurity resources. Led by IICT-BAS in collaboration with our partner Ratio1, we are deploying a hybrid architecture that combines symbolic knowledge graphs with fine-tuned language models directly on edge infrastructure. This system transforms raw security alerts into clear, actionable recommendations that enable analysts to trace incident chains and respond effectively without relying on opaque cloud platforms.
Our motivation for participating in the ResilMesh Open Call is to validate these novel algorithms in a robust, decentralized environment. By leveraging Ratio1’s specialized edge cloud capabilities and commercial expertise, we aim to bridge the gap between advanced research and practical application, ensuring our solution effectively democratizes cyber defense while meeting the rigorous demands of critical infrastructure.
Партньори
- ИИКТ-БАН (Водеща организация)
- Ratio1
Екип
- Ръководител на проекта проф. д-р Татяна Атанасова ИИКТ-БАН
- Калин Копанов ИИКТ-БАН
- доц. д-р Андрей Дамиан Ratio1.ai
- Кристиан Блеотиу Ratio1.ai
- Богдан Йонеску Ratio1.ai
График
S1 Design & Foundation
- G1.1 Knowledge Graph Design & Initial Population
- G1.2 Automated Data Ingestion Pipeline
- G1.3 GraphRAG Query Engine Prototype
- G1.4 ResilMesh Integration Setup
S2 Development & Integration
- G2.1 SLM Fine-Tuning
- G2.2 Explainability Framework
- G2.3 Synthetic Validation
S3 Validation & Release
- G3.1 Production Validation
- G3.2 Open-Source Release
- G3.3 Exploitation Preparation
- G3.4 Final Demonstration
Публикации и резултати
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