CONVERGENT AI AND BLOCKCHAIN FOR NEXT-GENERATION CYBERSECURITY AND DATA INTEGRITY: APPLICATIONS IN HEALTHCARE, PRIVACY, AND DIGITAL FORENSICS

— In an age of increasing digital threats and data

complexity, organizations need to adopt integrated

security frameworks that leverage the analytical

capabilities of Artificial Intelligence (AI) alongside the

immutability of Blockchain. This study examines how AIdriven cybersecurity enhances anomaly detection,

predictive threat modeling, and automated response

mechanisms to address advanced persistent threats and

internal vulnerabilities. Machine learning techniques

surpass traditional systems by enabling real-time

monitoring, behavioral analytics, and rapid risk

assessments across enterprise networks. At the same time,

blockchain's decentralized architecture and cryptographic

strength provide tamper-proof data storage, secure access

management, and regulatory compliance, especially in

privacy-sensitive sectors like healthcare. The paper

highlights the practical applications of blockchain in

securing electronic health records, facilitating traceable

supply chain operations, and supporting reliable digital

forensic investigations. Additionally, it proposes a

synergistic AI-blockchain ecosystem capable of delivering

autonomous, transparent, and resilient cybersecurity

solutions. Through detailed use cases and architectural

insights, this work showcases the transformative potential

of merging AI and blockchain to redefine cybersecurity

protocols, enhance privacy, and maintain data integrity

across digital infrastructures.