Generative AI and Cryptographic Validation Techniques for Secure High-Quality Enterprise Integration Architectures
DOI:
https://doi.org/10.15662/IJARCST.2021.0401004Keywords:
Generative AI, Cryptographic Validation, Enterprise Integration Architecture, Artificial Intelligence, Digital Signatures, Blockchain Security, Data Integrity, Enterprise Systems, Cybersecurity, Secure Integration, API Management, Zero-Knowledge Proofs, Encryption, Trust Management, Digital TransformationAbstract
The rapid growth of enterprise digital transformation has increased the complexity of integrating heterogeneous systems, cloud platforms, Internet of Things (IoT) devices, and business applications. Generative Artificial Intelligence (GenAI) has emerged as a transformative technology that enhances enterprise integration architectures by automating workflow generation, data mapping, API orchestration, anomaly detection, and intelligent decision support. However, the widespread adoption of AI-driven integration introduces significant security concerns, including data manipulation, unauthorized access, model poisoning, and integrity violations. Cryptographic validation techniques provide a robust mechanism for ensuring trustworthiness, confidentiality, authenticity, and non-repudiation across enterprise ecosystems. This study examines the role of Generative AI and cryptographic validation techniques in developing secure and high-quality enterprise integration architectures. The research explores how encryption algorithms, digital signatures, hash functions, blockchain-based validation, and zero-knowledge proof mechanisms can be combined with AI-driven integration frameworks to enhance security and reliability. Furthermore, the study investigates architectural models that leverage AI-generated integration artifacts while maintaining compliance with enterprise security standards. The findings suggest that integrating cryptographic validation with Generative AI improves data integrity, operational transparency, interoperability, and system resilience. The proposed framework offers organizations a scalable and secure approach to managing increasingly complex enterprise environments while ensuring high-quality service delivery and regulatory compliance.References
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