№ 75-1 (том 2): ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, Июнь, 2026
Научно-образовательные статьи

AUTOMATING THE ONLINE ATTESTATION PROGRAM

Tajiyyev Eziz
Oguz han Engineering and technology university of Turkmenistan
Jumagylyjov Azady
Oguz han Engineering and technology university of Turkmenistan

Опубликован 16.06.2026

Ключевые слова

  • online attestation; automated verification; digital trust; blockchain certification; e-government; document authentication; compliance automation; AI in public services.

Как цитировать

E. Tajiyyev, & A. Jumagylyjov. (2026). AUTOMATING THE ONLINE ATTESTATION PROGRAM. ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, 75-1 (том 2). https://mpcareer-google.ru/index.php/journal/article/view/5783

Аннотация

The proliferation of digital government services and institutional compliance requirements has created an urgent need for efficient, transparent, and scalable attestation processes. Traditional attestation programs, which rely on in-person document verification, manual stamp-and-sign workflows, and paper-based record keeping, are increasingly inadequate in a connected, mobile-first society. This paper introduces and conceptualizes the Automated Online Attestation System (AOAS), an intelligent, rule-driven platform designed to digitize, streamline, and secure the end-to-end attestation lifecycle. Unlike conventional e-government portals that merely digitize form submission, the AOAS leverages artificial intelligence (AI), blockchain-anchored verification, and adaptive document analysis to deliver contextual, tamper-proof attestation services across various domains (e.g., academic credential verification, professional license validation, corporate compliance certification, and cross-border document legalization). The article examines the theoretical foundations of digital trust, automated document verification, and compliance-driven workflow orchestration. We propose a four-layer architecture comprising document ingestion, rule-based validation, cryptographic attestation, and audit trail layers. Furthermore, we discuss institutional and individual benefits (e.g., reduced processing time, fraud prevention, global portability) and challenges (regulatory fragmentation, digital identity verification, interoperability across jurisdictions). Future research directions include AI-driven anomaly detection in submitted credentials and decentralized attestation networks.

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