К содержанию
РецензированоEN2025

ZERO-TRUST ARCHITECTURE IN HYBRID CLOUD ENVIRONMENTS WITH AI-DRIVEN THREAT DETECTION: A NEXT GEN APPROACH TO CYBERSECURITY

Istamov Mirjahon Mo‘minjon ogli · Bahronov Shahzodjon Vahobjon ogli · Isoqov Diyorbek Dilshod ogli

Образование наука и инновационные идеи в мире · 272-277 · 2025

Аннотация

This article analyzes the issues of threat detection based on artificial intelligence (AI) and ensuring cybersecurity through Zero-Trust architecture in hybrid cloud environments. Due to the inadequacy of traditional security approaches in hybrid infrastructures, it is essential to operate based on the Zero-Trust model, which verifies every access point. AI technologies enable real-time threat prediction, anomaly detection, and rapid response to threats. Furthermore, the article highlights how the components of Zero-Trust architecture, user identity, permission management, and security monitoring integrate with AI. Additionally, through the application of AI and Zero-Trust approaches in hybrid cloud environments, organizations can establish a robust defense system against cyberattacks, automate security policies, and maintain constant monitoring of information systems.

Доказательный фрагмент

«This article analyzes the issues of threat detection based on artificial intelligence (AI) and ensuring cybersecurity through Zero-Trust architecture in hybrid cloud environments.»

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This article analyzes the issues of threat detection based on artificial intelligence (AI) and ensuring cybersecurity through Zero-Trust architecture in hybrid cloud environments. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Ключевые слова
AI, Zero-Trust architecture, cybersecurity, hybrid cloud environments, threat detection, artificial intelligence, security monitoring, user authentication, access control, automated security, real-time analysis, zero trust model.
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