Blockchain and AI Integration: Strengthening Cybersecurity Frameworks in Digital Business Infrastructures

Authors

  • Joseph Mason, John David Department of Computer Science, University of Malashiya, Asia Author

Keywords:

Blockchain, Artificial Intelligence, Cybersecurity, Digital Business, Data Integrity, Threat Detection

Abstract

The integration of Blockchain and Artificial Intelligence (AI) presents a transformative opportunity to enhance cybersecurity frameworks within digital business infrastructures. As cyber threats become increasingly sophisticated and pervasive, traditional security measures often fall short in safeguarding sensitive data and maintaining system integrity. This paper explores the synergistic potential of Blockchain's decentralized, immutable ledger and AI's advanced data processing capabilities to create a robust cybersecurity framework. Blockchain technology offers transparency and traceability, ensuring secure transactions and enabling real-time audits of data integrity. Concurrently, AI enhances threat detection and response through machine learning algorithms that can analyze vast amounts of data, identify anomalies, and predict potential vulnerabilities. The combination of these technologies can provide enhanced protection against cyberattacks, streamline incident response, and improve compliance with regulatory standards. By leveraging Blockchain for secure data storage and AI for intelligent analysis, organizations can develop a proactive approach to cybersecurity that not only mitigates risks but also fosters trust in digital transactions. This paper highlights key applications, benefits, and challenges of Blockchain and AI integration, providing insights for businesses aiming to fortify their cybersecurity postures in an increasingly digital world.

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Published

2024-12-07