Zero Trust AI Authentication and Blockchain Powered Secure AI

The integration of Zero Trust (ZT) security models with Artificial Intelligence (AI) authentication mechanisms, along with the utilization of blockchain technology, offers a novel paradigm for securing digital interactions and data exchanges in increasingly decentralized and complex networks. Zero Trust, a security framework that assumes no implicit trust and enforces strict identity verification, is well-suited for AI-driven authentication systems that require robust, real-time, and adaptive security measures Blockchain technology further enhances this framework by providing a transparent, immutable ledger for logging authentication events, access control decisions, and transactions, ensuring tamper-proof audit trails. Blockchain’s decentralized nature also mitigates single points of failure, improving resilience and privacy. When combined, Zero Trust, AI, and blockchain can deliver an advanced, self-evolving security system that both anticipates and responds to new threats with greater precision and efficiency.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-02-04
DOI
https://doi.org/10.22214/ijraset.2025.66800
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

Zero Trust AI Authentication and Blockchain Powered Secure AI

R. K. Poongodi
1 citations
International Journal for Research in Applied Science and Engineering Technology
Blockchain Technology Applications and Security
3.25
article

Zero Trust AI Authentication and Blockchain Powered Secure AI

R. K. Poongodi
article en
1 citations

Abstract

The integration of Zero Trust (ZT) security models with Artificial Intelligence (AI) authentication mechanisms, along with the utilization of blockchain technology, offers a novel paradigm for securing digital interactions and data exchanges in increasingly decentralized and complex networks. Zero Trust, a security framework that assumes no implicit trust and enforces strict identity verification, is well-suited for AI-driven authentication systems that require robust, real-time, and adaptive security measures Blockchain technology further enhances this framework by providing a transparent, immutable ledger for logging authentication events, access control decisions, and transactions, ensuring tamper-proof audit trails. Blockchain’s decentralized nature also mitigates single points of failure, improving resilience and privacy. When combined, Zero Trust, AI, and blockchain can deliver an advanced, self-evolving security system that both anticipates and responds to new threats with greater precision and efficiency.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(2)
Openalex Percentile: Top 11%
Blockchain Technology Applications and Security
3.25
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Zero Trust AI Authentication and Blockchain Powered Secure AI — R. K. Poongodi · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS