23 citations · 44 across the 7 of their papers we have counts for
9 papers
An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations
George Fatouros, Georgios Makridis, George Kousiouris +2
Regulated cybersecurity workflows lack a runtime substrate that enforces organization-level scope across retrieval, tool calls, memory, findings, reports, and audit while remaining…
Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI
Georgios Makridis, Georgios Fatouros, John Soldatos +2
Financial institutions increasingly require AI explanations that are persistent, cross-validated across methods, and conversationally accessible to human decision-makers. We presen…
Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI
Georgios Makridis, Georgios Fatouros, John Soldatos +2
The EU Artificial Intelligence Act (Regulation 2024/1689), fully applicable to high-risk systems from August 2026, creates urgent demand for AI architectures that are simultaneousl…
CyberAId: AI-Driven Cybersecurity for Financial Service Providers
George Fatouros, Georgios Makridis, John Soldatos +18
European financial institutions face mounting regulatory pressure while their security operations centres remain constrained not by data or staffing but by reasoning capacity: ente…
Towards Scalable Federated Container Orchestration: The CODECO Approach
Rute C. Sofia, Josh Salomon, Ray Carrol +17
This paper presents CODECO, a federated orchestration framework for Kubernetes that addresses the limitations of cloud-centric deployment. CODECO adopts a data-compute-network co-o…
Towards Conversational AI for Human-Machine Collaborative MLOps
George Fatouros, Georgios Makridis, George Kousiouris +3
This paper presents a Large Language Model (LLM) based conversational agent system designed to enhance human-machine collaboration in Machine Learning Operations (MLOps). We introd…
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents
Despina Tomkou, George Fatouros, Andreas Andreou +6
This paper introduces a novel integration of Retrieval-Augmented Generation (RAG) enhanced Large Language Models (LLMs) with Extended Reality (XR) technologies to address knowledge…
MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents
George Fatouros, Kostas Metaxas, John Soldatos +1
MarketSenseAI is a novel framework for holistic stock analysis which leverages Large Language Models (LLMs) to process financial news, historical prices, company fundamentals and t…
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection
Georgios Fatouros, Konstantinos Metaxas, John Soldatos +1
This paper introduces MarketSenseAI, an innovative framework leveraging GPT-4's advanced reasoning for selecting stocks in financial markets. By integrating Chain of Thought and In…