AI-Driven Cybersecurity in Finance

Foundations of AI-Driven Cybersecurity in Finance.- The Role of Artificial Intelligence (AI) in the Digital Financial Age.- Digital Banking 4.0: Transforming Financial Services in the Era of Artificial Intelligence.- Smart Cybersecurity Technologies for the Financial Sector.- AI-Driven Hybrid Framework for Financial Fraud Detection Using Risk Modeling and Blockchain Audit.- AI Cybersecurity Paradigms and Strategic Approaches.- Reactive to Predictive: Leveraging AI for Advanced Cyber Defence in the Financial Sector.- Banking on AI: How Artificial Intelligence (AI) is Redefining Cybersecurity Standards.- A Strategic Approach to Adopting and Integrating Artificial Intelligence (AI) Cybersecurity Solutions.- Evaluating the Role of Artificial Intelligence (AI) in Automating Cybersecurity Risk Assessment and Incident Response.- AI-Powered Fraud Detection & Financial Crime Prevention.- AI-Powered Fraud Detection and Prevention in Digital Banking.- Large Language Model (LLM)-Augmented Claims Fraud Detection Using Behavioral Sequence Modeling.- Explainable AI Framework for Unified Fraud and Anomaly Detection using GNN-RNN-SGRU.- Digital Transformation Culture in the Banking Sector: Risks and Prospects for Development.- Cost Effectiveness of AI-powered KYC Management in Commercial Banks.- Secure AI Architectures, Encryption & Federated Systems.- Attribute-Based Encryption Techniques: Enhancing Access Control through CP-ABE and KP-ABE Schemes.- Lightweight Secure Federated Model Aggregation for IoT IDS Using Paillier HE and Merkle-HMAC.- Federated Learning in Financial Risk Prediction: Challenges, Architectures, and Emerging Solutions.- AI in Security Operations, Threat Intelligence & Cyber Defense.- AI-Powered Transformation of Security Operations Centers in Financial Institutions.- Generative Artificial Intelligence (AI) for Anticipatory Threat Identification and Mitigation within Cybersecurity Frameworks.- Next-Gen Financial Security: Combating AI-Powered Cyber Threats with Smart Systems.- Governance, Ethics, Explainability & Responsible AI.- Explainable AI (XAI) to Make Security Decisions Transparent and Trustworthy in Financial Sector.- Artificial Intelligence (AI) Security: Challenges in Ethics, Bias and Responsibility.- Future Technologies and the Evolving Landscape.- Application of Artificial Intelligence (AI) and Blockchain Technology in the Era of Quantum Computing.- Challenges and Opportunities in Financial Internet of Things (FIoT).