AI-Enhanced Cybersecurity for Automated Online Systems: Oracle- and Citrix-Driven Real-Time ERP Threat Mitigation Framework
DOI:
https://doi.org/10.15662/IJRAI.2024.0704003Keywords:
AI-enhanced cybersecurity, real-time threat mitigation, automated online systems, Oracle cloud, Citrix integration, predictive analytics, anomaly detection, enterprise resilience, software development, automated response systemsAbstract
The increasing reliance on automated online systems has amplified the need for robust, real-time cybersecurity solutions. This paper presents a framework that leverages artificial intelligence (AI) to enhance cybersecurity across automated online platforms, integrating Oracle and Citrix-driven software development for real-time threat detection and mitigation. The proposed approach combines predictive analytics, anomaly detection, and automated response mechanisms to safeguard critical enterprise operations against evolving cyber threats. By synchronizing AI models with Oracle cloud services and Citrix virtualization technologies, the framework ensures continuous system availability, operational resilience, and seamless threat response without disrupting business processes. A case-based evaluation demonstrates significant improvements in threat detection accuracy, response speed, and overall system security, highlighting the potential of AI-driven integration for next-generation enterprise cybersecurity.
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